GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference Companion
Full Citation in the ACM Digital Library
SESSION: Introductory tutorials
Introduction to randomized continuous optimization
Anne Auger
Nikolaus Hansen
GECCO 2017 tutorial on evolutionary multiobjective optimization
Dimo Brockhoff
Introduction to gene regulatory networks
Sylvain Cussat-Blanc
Wolfgang Banzhaf
Evolutionary computation: a unified approach
Kenneth De Jong
Theory for non-theoreticians
Benjamin Doerr
A practical guide to benchmarking and experimentation
Nikolaus Hansen
Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2017
Per Kristian Lehre
Pietro S. Oliveto
Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial
Aldeida Aleti
Katherine Malan
Irene Moser
Evolution of neural networks
Risto Miikkulainen
Genetic programming: a tutorial introduction
Una-May OReilly
Representations for evolutionary algorithms
Franz Rothlauf
Hyper-heuristics tutorial
Daniel R. Tauritz
John Woodward
Model-based evolutionary algorithms: GECCO 2017 tutorial
Dirk Thierens
Peter A. N. Bosman
Introducing rule-based machine learning: capturing complexity
Ryan J. Urbanowicz
Introductory statistics for EC: a visual approach
Mark Wineberg
SESSION: Advanced tutorials
CMA-ES and advanced adaptation mechanisms
Youhei Akimoto
Nikolaus Hansen
Constraint-handling techniques used with evolutionary algorithms
Carlos A. Coello Coello
Recent advances in evolutionary multi-criterion optimization (EMO)
Kalyanmoy Deb
Non-static parameter choices in evolutionary computation
Carola Doerr
Exploratory landscape analysis: advanced tutorial at GECCO 2017
Pascal Kerschke
Mike Preuss
Solving complex problems with coevolutionary algorithms
Krzysztof Krawiec
Malcolm Heywood
Evolutionary large-scale global optimization: an introduction
Mohammad Nabi Omidvar
Xiaodong Li
Sequential experimentation by evolutionary algorithms
Ofer M. Shir
Thomas Bäck
Joshua Knowles
Richard Allmendinger
Expressive genetic programming: concepts and applications
Lee Spector
Nicholas Freitag McPhee
Generative and developmental systems tutorial
Kenneth O. Stanley
Theory of swarm intelligence: tutorial at GECCO 2017
Dirk Sudholt
Next generation genetic algorithms
Darrell Whitley
SESSION: Specialized tutorials
Intelligent systems for smart cities
Enrique Alba
Multiagent systems and agent-based modeling and simulation
Ana L. C. Bazzan
Evolutionary robotics tutorial
N. Bredeche
S. Doncieux
J. -B. Mouret
Automated offline design of algorithms
Manuel López-Ibáñez
Thomas Stützle
Evolutionary computation and cryptology
Stjepan Picek
Evolutionary computation in network management and security: GECCO 2017 tutorial
Nur Zincir-Heywood
Gunes Kayacik
WORKSHOP SESSION: Simulation in evolutionary robotics
A baseline-realistic objective open-ended kinematics simulator for evolutionary robotics
Riley Konsella
Frank Chiarulli
John Peterson
John Rieffel
Simulating the evolution of soft and rigid-body robots
Sam Kriegman
Collin Cappelle
Francesco Corucci
Anton Bernatskiy
Nick Cheney
Josh C. Bongard
20 years of reality gap: a few thoughts about simulators in evolutionary robotics
Jean-Baptiste Mouret
Konstantinos Chatzilygeroudis
WORKSHOP SESSION: 7th workshop on evolutionary computation for the automated design of algorithms
Towards a method for automatically selecting and configuring multi-label classification algorithms
Alex G. C. de Sá
Gisele L. Pappa
Alex A. Freitas
Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration
Islam Elnabarawy
Daniel R. Tauritz
Donald C. Wunsch
Comparing hyper-heuristics with blackboard systems
Kevin Graham
Leslie Smith
Evaluating random forest models for irace
Leslie Pérez Cáceres
Bernd Bischl
Thomas Stützle
Recent developments in autoconstructive evolution
Lee Spector
Eva Moscovici
Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems
Fan Xue
Geoffrey Q Shen
WORKSHOP SESSION: Evolution in cognition (second edition)
Chairs' welcome for GECCO'17 workshop "evolution in cognition"
Stephane Doncieux
Joshua E. Auerbach
Richard J. Duro
Harold P. de Vladar
Cognitive cultural dynamics
Harold P. de Vladar
Context nodes in the operation of a long term memory structure for an evolutionary cognitive architecture
Richard J. Duro
Jose A. Becerra
Juan Monroy
Luis Calvo
Learning highly diverse robot throwing movements through quality diversity search
Seungsu Kim
Stéphane Doncieux
WORKSHOP SESSION: Evolutionary computation software systems
In hypercubo nigrae capsulae optimum
Arnaud Berny
ecr 2.0: a modular framework for evolutionary computation in R
Jakob Bossek
PonyGE2: grammatical evolution in Python
Michael Fenton
James McDermott
David Fagan
Stefan Forstenlechner
Erik Hemberg
Michael O'Neill
evospace-js: asynchronous pool-based execution of heterogeneous metaheuristics
Mario García-Valdez
JJ Merelo
Towards the design and implementation of optimization networks in HeuristicLab
Johannes Karder
Stefan Wagner
Andreas Beham
Michael Kommenda
Michael Affenzeller
flaccogui: exploratory landscape analysis for everyone
Christian Hanster
Pascal Kerschke
ECJ then and now
Sean Luke
Multijob: a framework for efficient distribution of evolutionary algorithms for parameter tuning
Robin Mueller-Bady
Martin Kappes
Lukas Atkinson
Inmaculada Medina-Bulo
Design and architecture of the jMetaISP framework
Antonio J. Nebro
Cristóbal Barba-González
José García Nieto
José A. Cordero
José F. Aldana Montes
MYRA: a Java ant colony optimization framework for classification algorithms
Fernando E. B. Otero
PyshGP: PushGP in Python
Edward Pantridge
Lee Spector
Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform
Pasquale Salza
Erik Hemberg
Filomena Ferrucci
Una-May O'Reilly
WORKSHOP SESSION: Evolutionary methods for smart grid applications
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0
W. Jakob
J. Á. González Ordiano
N. Ludwig
R. Mikut
V. Hagenmeyer
Differential evolution strategies for large-scale energy resource management in smart grids
Fernando Lezama
Luis Enrique Sucar
Enrique Munoz de Cote
João Soares
Zita Vale
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch
Karl Mason
Jim Duggan
Enda Howley
Restoration of power distribution networks: a fast evolutionary approach based on practical perspectives
Carlos E. R. Nogueira
Wallace C. Boaventura
Ricardo H. C. Takahashi
Eduardo G. Carrano
Optimizing booster stations
Jonas B. Weber
Ulf Lorenz
WORKSHOP SESSION: 2nd workshop on industrial applications of metaheuristics
Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study
Doğan Aydin
Gürcan Yavuz
Serdar Özyön
Celal Yaşar
Thomas Stützle
Multiobjective discovery of human-like driving strategies
Erik Dovgan
Jaka Sodnik
Ivan Bratko
Bogdan Filipič
Identifying a robust waste heat recovery system for varying hot water temperature demand
Maizura Mokhtar
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem
Neil Urquhart
WORKSHOP SESSION: 20th international workshop on evolutionary rule-based machine learning
Classifier systems with native fuzzy logic control operation
Nugroho Fredivianus
Kurt Geihs
Toward curious learning classifier systems: combining XCS with active learning concepts
Anthony Stein
Roland Maier
Jörg Hähner
WORKSHOP SESSION: Medical applications of genetic and evolutionary computation
A comparative study of the EEG signals big optimization problem using evolutionary, swarm and memetic computation algorithms
M. A. El Majdouli
S. Bougrine
I. Rbouh
A. A. El Imrani
Going through directional changes: evolving human movement classifiers using an event based encoding
Michael A. Lones
Jane E. Alty
Jeremy Cosgrove
Stuart Jamieson
Stephen L. Smith
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms
Ngoc Hoang Luong
Anton Bouter
Marjolein C. van der Meer
Yury Niatsetski
Cees Witteveen
Arjan Bel
Tanja Alderliesten
Peter A. N. Bosman
Evolutionary learning-based modeling for warfarin dose prediction in Chinese
Yanyun Tao
Yuzhen Zhang
Bin Jiang
Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation
Jose Manuel Velasco
Oscar Garnica
Sergio Contador
Marta Botella
Juan Lanchares
J. Ignacio Hidalgo
WORKSHOP SESSION: Student workshop
On binary unbiased operators returning multiple offspring
Nina Bulanova
Maxim Buzdalov
Variable selection as a non-completely decomposable problem: a case study in multivariate calibration
Lauro C. M. de Paula
Anderson S. Soares
Telma W. Soares
Clarimar J. Coelho
Genetic programming meets linear algebra: how genetic programming can be used to find improved iterative numerical methods
Reza Gholami Mahmoodabadi
Harald Köstler
Hierarchical surrogate modeling for illumination algorithms
Alexander Hagg
Optimization networks for real-world production and logistics problems
Viktoria A. Hauder
Andreas Beham
Stefan Wagner
Michael Affenzeller
Amplitude-oriented mixed-type CGP classification
Karlo Knezevic
Stjepan Picek
Julian F. Miller
Evaluation of a genetic representation for outline shapes
P. Lapok
A. Lawson
B. Paechter
Evaluation of heavy-tailed mutation operator on maximum flow test generation problem
Vladimir Mironovich
Maxim Buzdalov
Econometric genetic programming outperforms traditional econometric algorithms for regression tasks
André Luiz Farias Novaes
Ricardo Tanscheit
Douglas Mota Dias
An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity
Evgenia Papavasileiou
Bart Jansen
Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution
Irina Petrova
Arina Buzdalova
Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions
Mudita Sharma
Dimitar Kazakov
Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem
Xueming Yan
Zhifeng Hao
Han Huang
Hongyue Wu
WORKSHOP SESSION: Genetic and evolutionary computation in defense, security and risk management
Return-oriented programme evolution with ROPER: a proof of concept
Olivia Lucca Fraser
Nur Zincir-Heywood
Malcolm Heywood
John T. Jacobs
Investigating coevolutionary archive based genetic algorithms on cyber defense networks
Dennis Garcia
Anthony Erb Lugo
Erik Hemberg
Una-May O'Reilly
Administrating role-based access control by genetic algorithms
Igor Saenko
Igor Kotenko
WORKSHOP SESSION: Landscape-aware heuristic search
Instance-based algorithm selection on quadratic assignment problem landscapes
Andreas Beham
Michael Affenzeller
Stefan Wagner
Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics
Joel Lehman
Exploiting active subspaces in global optimization: how complex is your problem?
Pramudita Satria Palar
Koji Shimoyama
The effect of landscape funnels in QAPLIB instances
Sarah L. Thomson
Gabriela Ochoa
Fabio Daolio
Nadarajen Veerapen
WORKSHOP SESSION: Genetic improvement workshop
Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept
Mahmoud A. Bokhari
Bobby R. Bruce
Brad Alexander
Markus Wagner
From problem landscapes to language landscapes: questions in genetic improvement
Brendan Cody-Kenny
Michael Fenton
Michael O'Neill
Gaining insights into road traffic data through genetic improvement
Anikó Ekárt
Alina Patelli
Victoria Lush
Elisabeth Ilie-Zudor
Fixing bugs in your sleep: how genetic improvement became an overnight success
Saemundur O. Haraldsson
John R. Woodward
Alexander E. I. Brownlee
Kristin Siggeirsdottir
Genetic improvement of runtime and its fitness landscape in a bioinformatics application
Saemundur O. Haraldsson
John R. Woodward
Alexander E. I. Brownlee
Albert V. Smith
Vilmundur Gudnason
Learning from super-mutants: searching post-apocalyptic software ecosystems for novel semantics-preserving transforms
Jason Landsborough
Stephen Harding
Sunny Fugate
Improving SSE parallel code with grow and graft genetic programming
William B. Langdon
Ronny Lorenz
Evolving software building blocks with FINCH
Michael Orlov
New operators for non-functional genetic improvement
Justyna Petke
Modelling genetic improvement landscapes with local optima networks
Nadarajen Veerapen
Fabio Daolio
Gabriela Ochoa
GI in no time
David R. White
Embedding genetic improvement into programming languages
Shin Yoo
WORKSHOP SESSION: Measuring and promoting diversity in evolutionary algorithms
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants
Michael Affenzeller
Stephan M. Winkler
Bogdan Burlacu
Gabriel Kronberger
Michael Kommenda
Stefan Wagner
A simple bucketing based approach to diversity maintenance
Amit Benbassat
Yuri Shafet
A multi-objective decomposition-based evolutionary algorithm with enhanced variable space diversity control
Joel Chacón Castillo
Carlos Segura
Arturo Hernández Aguirre
Gara Miranda
Coromoto León
Genealogical distance as a diversity estimate in evolutionary algorithms
Thomas Gabor
Lenz Belzner
A comparison of illumination algorithms in unbounded spaces
Vassilis Vassiliades
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
WORKSHOP SESSION: New standards for benchmarking in evolutionary computation research
Generating custom classification datasets by targeting the instance space
Mario A. Muñoz
Kate Smith-Miles
On the difficulty of benchmarking inductive program synthesis methods
Edward Pantridge
Thomas Helmuth
Nicholas Freitag McPhee
Lee Spector
CryptoBench: benchmarking evolutionary algorithms with cryptographic problems
Stjepan Picek
Domagoj Jakobovic
Una-May O'Reilly
Performance testing of automated modeling for industrial applications
Dylan Sherry
Michael Schmidt
WORKSHOP SESSION: Workshop on surrogate-assisted evolutionary optimisation
A surrogate-based evolutionary algorithm for highly constrained design problems
Charlotte Beauthier
Paul Beaucaire
Caroline Sainvitu
Bayesian optimization approach of general bi-level problems
Emmanuel Kieffer
Grégoire Danoy
Pascal Bouvry
Anass Nagih
Overview of surrogate-model versions of covariance matrix adaptation evolution strategy
Zbyněk Pitra
Lukáš Bajer
Jakub Repický
Martin Holeňa
Enabling high-dimensional surrogate-assisted optimization by using sliding windows
Bernhard Werth
Erik Pitzer
Michael Affenzeller
WORKSHOP SESSION: Evolutionary computation in computational biology
Toward self-adapting computation in cells: building spiking neural network with cell signaling pathways
Katherine H. Chiang
Optimisation and landscape analysis of computational biology models: a case study
Kevin Doherty
Khulood Alyahya
Ozgur E. Akman
Jonathan E. Fieldsend
On heuristic bias in fragment-assembly methods for protein structure prediction
Julia Handl
Mario Garza-Fabre
Shaun Kandathil
Simon C. Lovell
Genetic improvement of computational biology software
William B. Langdon
Karina Zile
Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction
Paulo Maia
Isabel Rocha
Miguel Rocha
An evolutionary algorithm to model structural excursions of a protein
Emmanuel Sapin
Kenneth De Jong
Amarda Shehu
A protein folding model using the face-centered cubic lattice model
Daniel Varela
José Santos
WORKSHOP SESSION: Second workshop on evolving collective behaviors in robotics
Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus
Richard Borkowski
Heiko Hamann
Phylogeny of embodied evolutionary robotics
Amine Boumaza
Benefits of proportionate selection in embodied evolution: a case study with behavioural specialization
Nicolas Bredeche
Jean-Marc Montanier
Simon Carrignon
Incorporating user feedback in embodied evolution
Micha Kemeling
Evert Haasdijk
Validation of a learning and evolving robot swarm
Rasmus Munk
Emma Hart
Ben Paechter
WORKSHOP SESSION: Visualisation methods in genetic and evolutionary computation
Interactive tool for analyzing multiobjective optimization results with level diagrams
Xavier Blasco
Juan Manuel Herrero
Gilberto Reynoso-Meza
Miguel A. Martínez Iranzo
Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection
Anton Bouter
Kleopatra Pirpinia
Tanja Alderliesten
Peter A. N. Bosman
The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity
Eric Medvet
Tea Tušar
On the role of aesthetics in genetic algorithms applied to graph drawing
Evgheni Polisciuc
António Cruz
Penousal Machado
Joel P. Arrais
WORKSHOP SESSION: Exploration of inaccessible environments through hardware/software co-evolution
Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization
Ahmed Hallawa
Stephan Schlupkothen
Giovanni Iacca
Gerd Ascheid
Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents
Ahmed Hallawa
Jaro De Roose
Martin Andraud
Marian Verhelst
Gerd Ascheid
Acquiring moving skills in robots with evolvable morphologies: recent results and outlook
Milan Jelisavcic
Evert Haasdijk
A. E. Eiben
SESSION: Black box optimization benchmarking 2017
Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed
Doğan Aydin
Gürcan Yavuz
Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed
Mario García-Valdez
J J Merelo
Benchmarking CMAES-APOP on the BBOB noiseless testbed
Duc Manh Nguyen
Nikolaus Hansen
Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy
Zbyněk Pitra
Lukáš Bajer
Jakub Repický
Martin Holeňa
Benchmarking the SMS-EMOA with self-adaptation on the bbob-biobj test suite
Simon Wessing
Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed
Takahiro Yamaguchi
Youhei Akimoto
WORKSHOP SESSION: Parallel and distributed evolutionary inspired methods
Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling
Ivanoe De Falco
Antonio Della Cioppa
Giuseppe A. Trunfio
Multi-objective parallel extremal optimization in processor load balancing for distributed programs
Ivanoe De Falco
Eryk Laskowski
Richard Olejnik
Umberto Scafuri
Ernesto Tarantino
Marek Tudruj
A distributed framework for cooperation of many-objective evolutionary algorithms
Gian Fritsche
Aurora Pozo
A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem
Tomohiro Harada
Keiki Takadama
Asynchronous parallel cartesian genetic programming
Adam Harter
Daniel R. Tauritz
William M. Siever
Designing bent boolean functions with parallelized linear genetic programming
Jakub Husa
Roland Dobai
Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time
Misaki Kaidan
Tomohiro Harada
Ruck Thawonmas
Island-cellular model differential evolution for large-scale global optimization
Rodolfo A. Lopes
Alan R. R. de Freitas
Parallel optimization of transistor level circuits using cartesian genetic programming
Vojtech Mrazek
Zdenek Vasicek
A distributed implementation using apache spark of a genetic algorithm applied to test data generation
Ciprian Paduraru
Marius-Constantin Melemciuc
Alin Stefanescu
Hyper-parameter selection in deep neural networks using parallel particle swarm optimization
Pablo Ribalta Lorenzo
Jakub Nalepa
Luciano Sanchez Ramos
José Ranilla Pastor
TensorFlow enabled genetic programming
Kai Staats
Edward Pantridge
Marco Cavaglia
Iurii Milovanov
Arun Aniyan
Exploiting diversity in an asynchronous migration model for distributed differential evolution
Ivanoe De Falco
Antonio Delia Cioppa
Umberto Scafuri
Ernesto Tarantino
A parallel multi-objective cooperative co-evolutionary algorithm with changing variables
Biao Xu
Yong Zhang
Dun-wei Gong
Ling Wang
SESSION: Hot off the press
The unrestricted black-box complexity of jump functions
Maxim Buzdalov
Benjamin Doerr
Mikhail Kever
Multilayer optimization of heterogeneous networks using grammatical genetic programming
Michael Fenton
David Lynch
Stepan Kucera
Holger Claussen
Michael O'Neill
On constructing ensembles for combinatorial optimisation
Emma Hart
Kevin Sim
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems
Krzysztof Michalak
Effective visualisation of the high-dimensional pareto-optimal solutions
Maizura Mokhtar
Ian Hunt
Stephen Burns
Dave Ross
Downscaling near-surface atmospheric fields with multi-objective genetic programming
Tanja Zerenner
Victor Venema
Petra Friederichs
Clemens Simmer
SESSION: Late-breaking abstracts
A novel iterative improvement pivoting rule for local search heuristics
Saad Bougrine
Mohammed Amine El Majdouli
Abdelhakim Ameur El Imrani
An approach of satellite periodic continuous observation task scheduling based on evolutionary computation
Hao. Chen
Chun. Du
Jun. Li
Ning. Jing
Lingfeng. Wang
BBIOS: a characterization of evolutionary algorithm stability
Matthew J. Craven
Simon P. Martin
Exploring the (efficient) frontiers of portfolio optimization
Matthew J. Craven
David I. Graham
Optimizing LSTM RNNs using ACO to predict turbine engine vibration
AbdElRahman ElSaid
Brandon Wild
Fatima El Jamiy
James Higgins
Travis Desell
Social trends in the iterated prisoner's dilemma
Jessica Finocchiaro
H. David Mathias
Solving order/degree problems by using EDA-GK
H. Handa
R. Hasegawa
A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem
Olfa Harrabi
Ezzeddine Fatnassi
Hend Bouziri
Jouhaina Chaouachi
Solving a large sudoku by co-evolving numerals
Jeffrey Horn
Multi-document summarization using evolutionary multi-objective optimization
Chihoon Jung
Rituparna Datta
Aviv Segev
Discovering weekly seasonality for water demand prediction using evolutionary algorithms
Piotr Lipinski
Patryk Filipiak
Pawel Rychlikowski
Justyna Stanczyk
Joanna Kajewska-Szkudlarek
Janusz Lomotowski
Tomasz Konieczny
Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems
Minami Miyakawa
Hiroyuki Sato
Yuji Sato
Melody composition using geometric crossover for variable-length encoding
Yong-Wook Nam
Yong-Hyuk Kim
Evaluating island-based EAs on unstable networks with complex failure patterns
Rafael Nogueras
Carlos Cotta
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems
Zhigang Ren
An Chen
Lin Wang
Yongsheng Liang
Bei Pang
Optimization of solid waste collection: two ACO approaches
E. A. Mancera-Galván
Beatriz A. Garro
K. Rodríguez-Vázquez
General aspect-based selection concept for multi- and many-objective molecular optimization
Susanne Rosenthal
Markus Borschbach
Hierarchical pattern mining based on swarm intelligence
Kazuaki Tsuboi
Satoshi Suga
Satoshi Kurihara
SESSION: Hot off the press
The unrestricted black-box complexity of jump functions
Maxim Buzdalov
Benjamin Doerr
Mikhail Kever
Multilayer optimization of heterogeneous networks using grammatical genetic programming
Michael Fenton
David Lynch
Stepan Kucera
Holger Claussen
Michael O'Neill
On constructing ensembles for combinatorial optimisation
Emma Hart
Kevin Sim
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems
Krzysztof Michalak
Effective visualisation of the high-dimensional pareto-optimal solutions
Maizura Mokhtar
Ian Hunt
Stephen Burns
Dave Ross
Downscaling near-surface atmospheric fields with multi-objective genetic programming
Tanja Zerenner
Victor Venema
Petra Friederichs
Clemens Simmer
SESSION: Late-breaking abstracts
A novel iterative improvement pivoting rule for local search heuristics
Saad Bougrine
Mohammed Amine El Majdouli
Abdelhakim Ameur El Imrani
An approach of satellite periodic continuous observation task scheduling based on evolutionary computation
Hao. Chen
Chun. Du
Jun. Li
Ning. Jing
Lingfeng. Wang
BBIOS: a characterization of evolutionary algorithm stability
Matthew J. Craven
Simon P. Martin
Exploring the (efficient) frontiers of portfolio optimization
Matthew J. Craven
David I. Graham
Optimizing LSTM RNNs using ACO to predict turbine engine vibration
AbdElRahman ElSaid
Brandon Wild
Fatima El Jamiy
James Higgins
Travis Desell
Social trends in the iterated prisoner's dilemma
Jessica Finocchiaro
H. David Mathias
Solving order/degree problems by using EDA-GK
H. Handa
R. Hasegawa
A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem
Olfa Harrabi
Ezzeddine Fatnassi
Hend Bouziri
Jouhaina Chaouachi
Solving a large sudoku by co-evolving numerals
Jeffrey Horn
Multi-document summarization using evolutionary multi-objective optimization
Chihoon Jung
Rituparna Datta
Aviv Segev
Discovering weekly seasonality for water demand prediction using evolutionary algorithms
Piotr Lipinski
Patryk Filipiak
Pawel Rychlikowski
Justyna Stanczyk
Joanna Kajewska-Szkudlarek
Janusz Lomotowski
Tomasz Konieczny
Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems
Minami Miyakawa
Hiroyuki Sato
Yuji Sato
Melody composition using geometric crossover for variable-length encoding
Yong-Wook Nam
Yong-Hyuk Kim
Evaluating island-based EAs on unstable networks with complex failure patterns
Rafael Nogueras
Carlos Cotta
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems
Zhigang Ren
An Chen
Lin Wang
Yongsheng Liang
Bei Pang
Optimization of solid waste collection: two ACO approaches
E. A. Mancera-Galván
Beatriz A. Garro
K. Rodríguez-Vázquez
General aspect-based selection concept for multi- and many-objective molecular optimization
Susanne Rosenthal
Markus Borschbach
Hierarchical pattern mining based on swarm intelligence
Kazuaki Tsuboi
Satoshi Suga
Satoshi Kurihara
POSTER SESSION: Ant colony optimization and swarm intelligence
Particle swarm optimization based on island models
Houda Abadlia
Nadia Smairi
Khaled Ghedira
Parallel ant colony optimization for evacuation planning
Manel Hajjem
Hend Bouziri
El-Ghazali Talbi
Khaled Mellouli
POSTER SESSION: Complex systems (artificial life/artificial immune systems/robotics/evolvable hardware/generative and developmental systems)
Ecological modularity as a means to reduce necessary training environments in evolutionary robotics
Collin Cappelle
Anton Bernatskiy
Josh C. Bongard
Evolving cost functions for model predictive control of multi-agent UAV combat swarms
David D. Fan
Evangelos Theodorou
John Reeder
Increasing the complexity of solutions produced by an evolutionary developmental system
Heather J. Goldsby
Rebecca L. Young
Hans A. Hofmann
Arend Hintze
Automated pattern identification and classification: anomaly detection case study
R. G. Goss
G. S. Nitschke
Exploring divergence in soft robot evolution
Daniele Gravina
Antonios Liapis
Georgios N. Yannakakis
Is social learning more than parameter tuning?
Jacqueline Heinerman
Jörg Stork
Margarita Alejandra Rebolledo Coy
Julien Hubert
A. E. Eiben
Thomas Bartz-Beielstein
Evert Haasdijk
Benefits of lamarckian evolution for morphologically evolving robots
Milan Jelisavcic
Rafael Kiesel
Kyrre Glette
Evert Haasdijk
A. E. Eiben
Precomputation for rapid hypothesis generation in evolutionary robotics
Joel Lehman
A developmental artificial neural network model for solving multiple problems
Julian F. Miller
Dennis G. Wilson
The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies
Rodrigo Moreno
Ceyue Liu
Andres Faina
Henry Hernandez
Jonatan Gomez
GP-based motion control design for the double-integrator system subject to velocity constraint
Ollin Peñaloza-Mejía
Eddie Clemente
Marlen Meza-Sánchez
Cynthia B. Pérez
Francisco Chávez
Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior
Alex C. Rollins
Jacob Schrum
Evolutionary search for paths on protein energy landscapes
Emmanuel Sapin
Kenneth De Jong
Amarda Shehu
Embodied evolution versus cooperative coevolution in multi-robot optimization: a practical comparison
P. Trueba
A. Prieto
F. Bellas
Exploiting environmental differentiation to promote evolvability in artificial evolution
Jonata Tyska Carvalho
Stefano Nolfi
An evolutionary approach to behavioural morphometrics
Melanie Däschinger
Andreas Knote
Sebastian von Mammen
POSTER SESSION: Digital entertainment technologies and arts
Procedural level design using an interactive cellular automata genetic algorithm
Chad Adams
Hirav Parekh
Sushil J. Louis
Gamification techniques in collaborative interactive evolutionary computation
Mario García-Valdez
José-C Romero
Alejandra Mancilla
Juan-J. Merelo
Francisco Fernández-de-Vega
Escher-like tiling design using hierarchical optimization
Asuka Hisatomi
Hitomi Koba
Makoto Kamizono
Kazunori Mizuno
Satoshi Ono
Speeding up genetic algorithm-based game balancing using fitness predictors
Mihail Morosan
Riccardo Poli
A deep learning / neuroevolution hybrid for visual control
Andreas Precht Poulsen
Mark Thorhauge
Mikkel Hvilshj Funch
Sebastian Risi
Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity
L. B. Soros
Justin K. Pugh
Kenneth O. Stanley
Comparing multimodal optimization and illumination
Vassilis Vassiliades
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
POSTER SESSION: Evolutionary combinatorial optimization and metaheuristics
A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPs
Hajer Ben-Romdhane
Enrique Alba
Saoussen Krichen
How to get more from your model: the role of constructive selection in estimation of distribution algorithms
J. R. Caldwell
R. A. Watson
A memetic algorithm for computing multicriteria shortest paths in stochastic multimodal networks
O. Dib
A. Caminada
M-A. Manier
L. Moalic
A novel reduction algorithm for the generalized traveling salesman problem
Mehdi El Krari
Belaïd Ahiod
Bouazza El Benani
Multi-objectiveness in the single-objective traveling thief problem
Mohamed El Yafrani
Shelvin Chand
Aneta Neumann
Belaïd Ahiod
Markus Wagner
Parameter-less population pyramid with feedback
Marcin M. Komarnicki
Michal W. Przewozniczek
A model-based genetic algorithm framework for constrained optimisation problems
Mark Lawrenson
Tommaso Urli
Philip Kilby
The menu planning problem: a multiobjective approach for Brazilian schools context
Rafaela Priscila Cruz Moreira
Elizabeth Fialho Wanner
Flávio Vinícius Cruzeiro Martins
João Fernando Machry Sarubbi
Modeling optimization algorithm runtime behavior and its applications
Qi Qi
Thomas Weise
Bin Li
Efficient quantitative heuristics for graph clustering
Rafael Santiago
Luís C. Lamb
Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning
W. B. Yates
E. C. Keedwell
A fast heuristic algorithm for the critical node problem
Yangming Zhou
Jin-Kao Hao
POSTER SESSION: Evolutionary machine learning
Evidential learning classifier system
Chedi Abdelkarim
Lilia Rejeb
Lamjed Ben Said
Maha Elarbi
An upgraded bat algorithm for tuning extreme learning machines for data classification
Adis Alihodzic
Eva Tuba
Milan Tuba
Large scale evolution of convolutional neural networks using volunteer computing
Travis Desell
Revisiting interval arithmetic for regression problems in genetic programming
Grant Dick
Evolutionary learning of meta-rules for text classification
Juan Carlos Gomez
Stijn Hoskens
Marie-Francine Moens
Autonomous intersection driving with neuro-evolution
A. Parker
G. Nitschke
Automated state feature learning for actor-critic reinforcement learning through NEAT
Yiming Peng
Gang Chen
Scott Holdaway
Yi Mei
Mengjie Zhang
cCube: a cloud microservices architecture for evolutionary machine learning classification
Pasquale Salza
Erik Hemberg
Filomena Ferrucci
Una-May O'Reilly
The role of conditional independence in the evolution of intelligent systems
Jory Schossau
Larissa Albantakis
Arend Hintze
Low-power FSM synthesis using a fuzzy c-mean clustering-based decomposition
Yanyun Tao
Yuzhen Zhang
Qinyu Wang
Stability selection using a genetic algorithm and logistic linear regression on healthcare records
Aleš Zamuda
Christine Zarges
Gregor Stiglic
Goran Hrovat
Linear combinations of features as leaf nodes in symbolic regression
Jan Žegklitz
Petr Pošík
POSTER SESSION: Evolutionary multiobjective optimization
Towards an epigenetics-inspired control system for power dispatch problem
Daniel J. Couvertier
Erik Goodman
Kalyanmoy Deb
Set-SMAA for finding preferable multi-objective solutions
Rotem Dror
Amir Kantor
Michael Masin
Segev Shlomov
A multi-objective continuous genetic algorithm for financial portfolio optimization problem
Yacine Kessaci
Hybridizing non-dominated sorting algorithms: divide-and-conquer meets best order sort
Margarita Markina
Maxim Buzdalov
The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem
Krzysztof Michalak
Multiple reference points MOEA/D for feature selection
Hoai Bach Nguyen
Bing Xue
Hisao Ishibuchi
Peter Andreae
Mengjie Zhang
Solving electoral zone design problems with NSGA-II: application to redistricting in Mexico
Antonin Ponsich
Eric A. Rincón García
Román A. Mora Gutiérrez
Sergio G. de-los-Cobos Silva
Miguel A. Gutiérrez Andrade
Pedro Lara Velázquez
Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy
Yuji Sato
Mikiko Sato
Minami Miyakawa
An improved MOEA/D utilizing variation angles for multi-objective optimization
Hiroyuki Sato
Minami Miyakawa
Keiki Takadama
POSTER SESSION: Evolutionary numerical optimization
On the mutual information as a fitness landscape measure
Rebeka Coric
Stjepan Picek
Domagoj Jakobovic
Carlos A. Coello Coello
A two-stage coevolution approach for constrained optimization
Jing-Yu Ji
Wei-Jie Yu
Jun Zhang
Interpolated continuous optimisation problems with tunable landscape features
Benjamin Lacroix
Lee A. Christie
John A. W. McCall
A new grouping strategy-based hybrid algorithm for large scale global optimization problems
Haiyan Liu
Yuping Wang
Liwen Liu
Xiao-Zhi Gao
Yiu-ming Cheung
Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES
Naoki Mori
Taku Hasegawa
Kento Tsukada
Keinosuke Matsumoto
Non-parametric model of the space of continuous black-box optimization problems
Mario A. Muñoz
Kate Smith-Miles
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy
Zbyněk Pitra
Lukáš Bajer
Jakub Repický
Martin Holeňa
Adaptiveness of CMA based samplers
Edna Milgo
Nixon Ronoh
Peter Waiganjo
Bernard Manderick
A computationally efficient gravitational search algorithm
Alex Rothwell
Aldeida Aleti
Modified box constraint handling for the covariance matrix adaptation evolution strategy
Naoki Sakamoto
Youhei Akimoto
POSTER SESSION: Genetic algorithms
On the exploitation of search history and accumulative sampling in robust optimisation
Khulood Alyahya
Kevin Doherty
Jonathan E. Fieldsend
Ozgur E. Akman
Automated case generation using a genetic algorithm
Hayley Borck
Mark Boddy
A two-phase genetic algorithm for image registration
Sarit Chicotay
Eli (Omid) David
Nathan S. Netanyahu
A computationally fast multimodal optimization with push enabled genetic algorithm
Yashesh Dhebar
Kalyanmoy Deb
A hybrid genetic algorithm for deploying RSUs in VANETs based on inter-contact time
Marcelo Fonseca Faraj
João Fernando Machry Sarubbi
Cristiano Maciel da Silva
Flávio Vinícius Cruzeiro Martins
A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitness
Alexandre Mayer
Overlapping community detection in social networks using a quantum-based genetic algorithm
Alireza Saleh Sedghpour
Amin Nikanjam
Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift
Keigo Tanaka
Youhei Akimoto
POSTER SESSION: General evolutionary computation and hybrids
Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions
Ana L. C. Bazzan
The baldwin effect on a memetic differential evolution for constrained numerical optimization problems
Saul Dominguez-Isidro
Efren Mezura-Montes
Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterization
Amaury Hernandez-Aguila
Mario Garcia-Valdez
Juan Julian Merelo-Guervos
Oscar Castillo
A multi-objective approach for the (
α, β
)-
k
-feature set problem using memetic algorithms
Francia Jiménez
Claudio Sanhueza
Regina Berretta
Pablo Moscato
Load balance aware distributed differential evolution for computationally expensive optimization problems
Ning Ma
Xiao-Fang Liu
Zhi-Hui Zhan
Jing-Hui Zhong
Jun Zhang
Design choices for adapting bio-hybrid systems with evolutionary computation
Pedro Mariano
Ziad Salem
Rob Mills
Payam Zahadat
Luís Correia
Thomas Schmickl
Neural network topology and weight optimization through neuro differential evolution
Karl Mason
Jim Duggan
Enda Howley
A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting
Abtin Nourmohammadzadeh
Sven Hartmann
Hui Ma
Indicator-based multi-objective genetic programming for workflow scheduling problem
Qin-zhe Xiao
Jinghui Zhong
Wen-Neng Chen
Zhi-Hui Zhan
Jun Zhang
POSTER SESSION: Genetic programming
Evolving texture image descriptors using a multitree genetic programming representation
Harith Al-Sahaf
Bing Xue
Mengjie Zhang
Late-acceptance and step-counting hill-climbing GP for anomaly detection
Van Loi Cao
Miguel Nicolau
James McDermott
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation
Qi Chen
Mengjie Zhang
Bing Xue
Semantic-based local search in multiobjective genetic programming
Tiantian Dou
Peter Rockett
Dynamic GP fitness cases in static and dynamic optimisation problems
Edgar Galván-López
Lucia Vázquez-Mendoza
Marc Schoenauer
Leonardo Trujillo
Genetic programming with multi-layered population structure
Taku Hasegawa
Naoki Mori
Keinosuke Matsumoto
An empirical study on the parametrization of cartesian genetic programming
Paul Kaufmann
Roman Kalkreuth
Evolutionary linear discriminant analysis for multiclass classification problems
Michael F. Korns
Long-term evolution of genetic programming populations
William B. Langdon
Improving
k
-means clustering with genetic programming for feature construction
Andrew Lensen
Bing Xue
Mengjie Zhang
Learning figure-ground image segmentors by genetic programming
Yuyu Liang
Mengjie Zhang
Will N. Browne
Late-acceptance hill-climbing with a grammatical program representation
James McDermott
Miguel Nicolau
Using algorithm configuration tools to optimize genetic programming parameters: a case study
Nicholas Freitag McPhee
Thomas Helmuth
Lee Spector
Visualizing genetic programming ancestries using graph databases
Nicholas Freitag McPhee
Maggie M. Casale
Mitchell Finzel
Thomas Helmuth
Lee Spector
An effective diversity promotion mechanism in grammatical evolution
Eric Medvet
Alberto Bartoli
Giovanni Squillero
Hierarchical grammatical evolution
Eric Medvet
Evolving S-boxes based on cellular automata with genetic programming
Stjepan Picek
Luca Mariot
Alberto Leporati
Domagoj Jakobovic
Feature selection using geometric semantic genetic programming
G. H. Rosa
J. P. Papa
L. P. Papa
Multitask evolution with cartesian genetic programming
Eric O. Scott
Kenneth A. De Jong
PSXO: population-wide semantic crossover
Leonardo Vanneschi
Mauro Castelli
Luca Manzoni
Krzysztof Krawiec
Alberto Moraglio
Sara Silva
Ivo Gonçalves
POSTER SESSION: Real world applications
Multiobjective evolutionary algorithms for operational planning problems in open-pit mining
Rafael F. Alexandre
Felipe Campelo
João A. Vasconcelos
Genetic algorithms approaches for the production planning in the glass container industry
Flaviana Moreira S. Amorim
Márcio da Silva Arantes
Claudio Fabiano Motta Toledo
Pierre Eric Frisch
Jesimar da Silva Arantes
Bernardo Almada-Lobo
Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials
Gilyana Borlikova
Michael O'Neill
Louis Smith
Michael Phillips
Applying particle swarm optimization to the motion-cueing-algorithm tuning problem
Sergio Casas
Cristina Portalés
Inmaculada Coma
Marcos Fernández
Interactive evolutionary modelling of living complex food systems: freeze-drying of lactic acid bacteria
T. Chabin
M. Barnabé
N. Boukhelifa
F. Fonseca
A. Tonda
H. Velly
N. Perrot
E. Lutton
ZCSR for targeting the optimal impedance in digital radio frequency matching box
L.-Y. Chen
Y.-L. Yang
T.-C. Hsiao
A comparison of fitness functions in a genetic algorithm for acoustic-articulatory parameter inversion of vowels
Jared Drayton
Eduardo Miranda
Alexis Kirke
Developing proactive defenses for computer networks with coevolutionary genetic algorithms
Anthony Erb Lugo
Dennis Garcia
Erik Hemberg
Una-May O'Reilly
Toward a smart mobility system: integrating electric vehicles within smart cities
Ezzeddine Fatnassi
Olfa Harrabi
Jouhaina Chaouachi
Scheduling a continues galvanization line using genetic algorithm
H. Fox
S. Ben Alul
M. Weiss Cohen
Community detection in power grids by an evolutionary method
Manuel Guerrero
Consolación Gil
Francisco G. Montoya
Alfredo Alcayde
Raúl Bańos
A hybrid genetic algorithm for climate input features and neural network parameters selection
Ali Haidar
Brijesh Verma
Automatically difficulty grading method of "instruction system" question bank based on knowledge tree
Chengcheng Liu
Jin Zhang
Yang Zhou
Shunjian Tian
Xiaoli Gong
Xin Wei
Fast 3D path planning based on heuristic-aided differential evolution
Ning Ma
Xue Yu
Wei-Neng Chen
Jun Zhang
On evolutionary computation for moving target defense in software defined networks
Adetokunbo Makanju
A. Nur Zincir-Heywood
Shinsaku Kiyomoto
Reducing systemic risk in multiplex networks using evolutionary optimization
Krzysztof Michalak
Single and multi-objective genetic algorithms for the container loading problem
Gara Miranda
Algirdas Lančinskas
Yanira González
Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data
Hossein Moeinzadeh
Gaetano D. Gargiulo
Paolo Bifulco
Mario Cesarelli
Alistair L. McEwan
Aiden O'Loughlin
Ibrahim M. Shugman
Jonathan C. Tapson
Aravinda Thiagalingam
Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspective
Mathieu Muniglia
Sébastien Verel
Jean-Charles Le Pallec
Jean-Michel Do
Using desirability functions for many-objective optimization of a hybrid car controller
Yuka Ogino
Ryoya Iida
Tobias Rodemann
Evolutionary computation at work for the optimization of link state routing protocols
Vitor Pereira
Pedro Sousa
Miguel Rocha
Application of a memetic algorithm to the fleet size and mix vehicle routing problem with electric modular vehicles
Dhekra Rezgui
Jouhaina Chaouachi-Siala
Wassila Aggoune-Mtalaa
Hend Bouziri
A genetic algorithm for hybrid VANETs with synchronous communication
João M. Sarubbi
Flavio C. Martins
Cristiano M. Silva
Elizabeth Wanner
Short versus long-term urban planning using multi-objective optimization
Jonas Schwaab
Kalyanmoy Deb
Erik Goodman
Sven Lautenbach
Maarten van Strien
Adrienne Grět-Regamey
A fast hybrid evolutionary algorithm with inexact fitness evaluation for solving two-stage stochastic scheduling problems
Thomas Siwczyk
Sebastian Engell
Evolving sharing strategies in cybersecurity information exchange framework
Iman Vakilinia
Sushil J. louis
Shamik Sengupta
POSTER SESSION: Search-based software engineering
Software change prediction using voting particle swarm optimization based ensemble classifier
Ruchika Malhotra
Megha Khanna
POSTER SESSION: Theory
Analyzing search heuristics with differential equations
Tobias Friedrich
Timo Kötzing
Anna Melnichenko
Simple problems: the simplicial gluing structure of pareto sets and pareto fronts
Naoki Hamada
An initial error analysis for evolutionary algorithms
Jun He
Yuren Zhou
Guangming Li