GECCO '16- Proceedings of the 2016 on Genetic and Evolutionary Computation Conference
Full Citation in the ACM Digital Library
SESSION: Keynote Talks
The Challenges of Natural Algorithms
Bernard Chazelle
Taming the Complexity Monster or: How I learned to Stop Worrying and Love Hard Problems
Holger H. Hoos
SESSION: Ant Colony Optimization and Swarm Intelligence
Relaxing Consensus in Distributed Factored Evolutionary Algorithms
Stephyn Butcher
Shane Strasser
Jenna Hoole
Benjamin Demeo
John Sheppard
A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm
Ayah Helal
Fernando E.B. Otero
ACO-inspired Acceleration of Gossip Averaging
Andreas Janecek
Wilfried N. Gansterer
Curvature Flight Path for Particle Swarm Optimisation
Cheng Wai Kheng
Day Chyi Ku
Hui Fuang Ng
Mahmoud Khattab
Siang Yew Chong
The Influence of Heredity Models on Adaptability in Evolutionary Swarms
Ruby L.V. Moritz
Sanaz Mostaghim
Using Mutual Information to Build Dynamic Neighbourhoods for Particle Swarm Optimisation
Ángel Arturo Rojas-García
Arturo Hernández-Aguirre
A New Discrete Particle Swarm Optimization Algorithm
Shane Strasser
Rollie Goodman
John Sheppard
Stephyn Butcher
Update Strength in EDAs and ACO: How to Avoid Genetic Drift
Dirk Sudholt
Carsten Witt
Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition
Saul Zapotecas-Martinez
Alberto Moraglio
Hernan E. Aguirre
Kiyoshi Tanaka
SESSION: Artificial Immune Systems and Biological and Biomedical Applications
Artificial Immune Systems can Beat Evolutionary Algorithms in Combinatorial Optimisation
Benjamin Doerr
Thomas Jansen
Christine Zarges
A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes
Emmanuel Sapin
Kenneth De Jong
Amarda Shehu
SESSION: Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems)
EvoRBC: Evolutionary Repertoire-based Control for Robots with Arbitrary Locomotion Complexity
Miguel Duarte
Jorge Gomes
Sancho Moura Oliveira
Anders Lyhne Christensen
Quantifying Deception: A Case Study in the Evolution of Antimicrobial Resistance
Margaret J. Eppstein
C. Brandon Ogbunugafor
Convolution by Evolution: Differentiable Pattern Producing Networks
Chrisantha Fernando
Dylan Banarse
Malcolm Reynolds
Frederic Besse
David Pfau
Max Jaderberg
Marc Lanctot
Daan Wierstra
Evolving Neural Turing Machines for Reward-based Learning
Rasmus Boll Greve
Emil Juul Jacobsen
Sebastian Risi
Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?
Joost Huizinga
Jean-Baptiste Mouret
Jeff Clune
Accelerating the Evolution of Cognitive Behaviors Through Human-Computer Collaboration
Mathias Löwe
Sebastian Risi
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It
Henok Mengistu
Joel Lehman
Jeff Clune
Learning Behavior Characterizations for Novelty Search
Elliot Meyerson
Joel Lehman
Risto Miikkulainen
Neuromodulation Improves the Evolution of Forward Models
Mohammad Sadegh Norouzzadeh
Jeff Clune
Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes
Milan Rybář
Heiko Hamann
How do Different Encodings Influence the Performance of the MAP-Elites Algorithm?
Danesh Tarapore
Jeff Clune
Antoine Cully
Jean-Baptiste Mouret
Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression
Roby Velez
Jeff Clune
SESSION: Continuous Optimization
Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking
Ouassim Ait ElHara
Anne Auger
Nikolaus Hansen
Projection-Based Restricted Covariance Matrix Adaptation for High Dimension
Youhei Akimoto
Nikolaus Hansen
Analysis of Different Types of Regret in Continuous Noisy Optimization
Sandra Astete-Morales
Marie-Liesse Cauwet
Olivier Teytaud
Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling
Asma Atamna
Anne Auger
Nikolaus Hansen
Experimental Investigation of Recombination Operators for Differential Evolution
Felipe Campelo
Moisés Botelho
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models
Pascal Kerschke
Mike Preuss
Simon Wessing
Heike Trautmann
Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient
Kouhei Nishida
Youhei Akimoto
Two-Dimensional Barcode Decoration Using Module-wise Non-systematic Coding and Cooperative Evolution by User and System
Makoto Kamizono
Kigo Shimomura
Masayuki Tajiri
Satoshi Ono
SESSION: Digital Entertainment Technologies and Arts
General Video Game Level Generation
Ahmed Khalifa
Diego Perez-Liebana
Simon M. Lucas
Julian Togelius
Evotype: From Shapes to Glyphs
Tiago Martins
João Correia
Ernesto Costa
Penousal Machado
Demonstrating the Feasibility of Automatic Game Balancing
Vanessa Volz
Günter Rudolph
Boris Naujoks
Discovering Combos in Fighting Games with Evolutionary Algorithms
Gianlucca L. Zuin
Yuri P.A. Macedo
Luiz Chaimowicz
Gisele L. Pappa
SESSION: Evolutionary Combinatorial Optimization and Metaheuristics
Extension of the CMSA Algorithm: An LP-based Way for Reducing Sub-instances
Christian Blum
Jordi Pereira
Fast Heuristics for the Multiple Traveling Thieves Problem
Shelvin Chand
Markus Wagner
Cellular Genetic Algorithm for Solving a Routing On-Demand Transit Problem
Olfa Chebbi
Ezzeddine Fatnassi
Jouhaina Chaouachi
Nouha Nouri
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
Francisco Chicano
Darrell Whitley
Renato Tinos
Population-based vs. Single-solution Heuristics for the Travelling Thief Problem
Mohamed El Yafrani
Belaïd Ahiod
Communities of Local Optima as Funnels in Fitness Landscapes
Sebastian Herrmann
Gabriela Ochoa
Franz Rothlauf
A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs
Angus Kenny
Xiaodong Li
A K. Qin
Andreas T. Ernst
A Simulated Annealing Algorithm for Maximum Common Edge Subgraph Detection in Biological Networks
Simon J. Larsen
Frederik G. Alkærsig
Henrik J. Ditzel
Igor Jurisica
Nicolas Alcaraz
Jan Baumbach
Multi-objective Neutral Neighbors': What could be the definition(s)?
Marie-Eléonore Marmion
Hernan Aguirre
Clarisse Dhaenens
Laetitia Jourdan
Kiyoshi Tanaka
HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm
Marcella S.R. Martins
Myriam R.B.S. Delgado
Roberto Santana
Ricardo Lüders
Richard Aderbal Gonçalves
Carolina Paula de Almeida
Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming
Yi Mei
Mengjie Zhang
Su Nyugen
Additional Dimensions to the Study of Funnels in Combinatorial Landscapes
Gabriela Ochoa
Nadarajen Veerapen
Multi-hard Problems in Uncertain Environment
Michal Roman Przybylek
Adam Wierzbicki
Zbigniew Michalewicz
Ants can Learn from the Opposite
Nicolás Rojas-Morales
María-Cristina Riff
Elizabeth Montero
Evolutionary Approaches to Optimization Problems in Chimera Topologies
Roberto Santana
Zheng Zhu
Helmut G. Katzgraber
Game theory, Extremal optimization, and Community Structure Detection in Complex Networks
Mihai Suciu
Rodica Ioana Lung
Noémi Gaskó
On the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack Problem
Junhua Wu
Sergey Polyakovskiy
Frank Neumann
On the Design of Hard mUBQP Instances
Murilo Zangari
Roberto Santana
Alexander Mendiburu
Aurora Pozo
SESSION: Evolutionary Machine Learning
Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set
Isidro M. Alvarez
Will N. Browne
Mengjie Zhang
Using an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery
James Brookhouse
Fernando E.B. Otero
Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Datasets
John P. Hanley
Margaret J. Eppstein
Jeffrey S. Buzas
Donna M. Rizzo
Transferable XCS
Xianneng Li
Guangfei Yang
Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression
Lars Vidar Magnusson
Roland Olsson
Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference
Yi Mei
Bing Xue
Mengjie Zhang
Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks
Gregory Morse
Kenneth O. Stanley
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson
Nathan Bartley
Ryan J. Urbanowicz
Jason H. Moore
A Hybrid Approach for Sleep Stages Classification
Abdelhamid Ouanes
Lilia Rejeb
Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective
Aditya Rawal
Risto Miikkulainen
A New Evaluation Function for Clustering: The NK Internal Validation Criterion
Renato Tinós
Zhao Liang
Francisco Chicano
Darrell Whitley
A Wavelet-based Encoding for Neuroevolution
Sjoerd van Steenkiste
Jan Koutník
Kurt Driessens
Jürgen Schmidhuber
SESSION: Evolutionary Multiobjective Optimization
Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients
Mohamed Abouhawwash
Kalyanmoy Deb
Tuning of Multiple Parameter Sets in Evolutionary Algorithms
Martin Andersson
Sunith Bandaru
Amos H.C. Ng
Experiments on Greedy and Local Search Heuristics for
d
dimensional Hypervolume Subset Selection
Matthieu Basseur
Bilel Derbel
Adrien Goëffon
Arnaud Liefooghe
Bio-inspired Multi-objective Optimization Design of a Highly Efficient Squirrel Cage Induction Motor
Sergio F. Contreras
Camilo A. Cortés
María A. Guzmán
Runtime Analysis of Evolutionary Diversity Maximization for OneMinMax
Benjamin Doerr
Wanru Gao
Frank Neumann
A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates
Raquel Hernández Gómez
Carlos A. Coello Coello
Enrique Alba Torres
A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization
Rayan Hussein
Kalyanmoy Deb
A Correlation Analysis of Set Quality Indicator Values in Multiobjective Optimization
Arnaud Liefooghe
Bilel Derbel
Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design
Siamak Safarzadegan Gilan
Naman Goyal
Bistra Dilkina
A Toolkit for Generating Scalable Stochastic Multiobjective Test Problems
Shaul Salomon
Robin Charles Purshouse
Ioannis Giaghiozis
Peter John Fleming
A novel Multi-objective Optimization-based Image Registration Method
Meifeng Shi
Zhongshi He
Ziyu Chen
Hang Zhang
A Faster Algorithm for the Binary Epsilon Indicator Based on Orthant Minimum Search
Andrey Vasin
Maxim Buzdalov
SESSION: Genetic Algorithms
Hidden Genes Genetic Algorithms for Systems Architecture Optimization
Ossama Abdelkhalik
Shadi Darani
Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms
Peter A.N. Bosman
Ngoc Hoang Luong
Dirk Thierens
Escaping Local Optima with Diversity Mechanisms and Crossover
Duc-Cuong Dang
Tobias Friedrich
Timo Kötzing
Martin S. Krejca
Per Kristian Lehre
Pietro S. Oliveto
Dirk Sudholt
Andrew M. Sutton
Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm
Kalyanmoy Deb
Christie Myburgh
Fast Building Block Assembly by Majority Vote Crossover
Tobias Friedrich
Timo Kötzing
Martin S. Krejca
Samadhi Nallaperuma
Frank Neumann
Martin Schirneck
Runtime Analysis for the Parameter-less Population Pyramid
Brian W. Goldman
Dirk Sudholt
Surprise Search: Beyond Objectives and Novelty
Daniele Gravina
Antonios Liapis
Georgios Yannakakis
A Parallel Hybrid Genetic Algorithm for the k-Edge-Connected Hop-Constrained Network Design Problem
Mohamed Khalil Labidi
Ibrahima Diarrassouba
Ali Ridha Mahjoub
Anissa Omrane
Estimating the Advantage of Age-Layering in Evolutionary Algorithms
Hormoz Shahrzad
Babak Hodjat
Risto Miikkulainen
Exploiting Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering Problems: A Case Study
Jim Smith
Christopher Stone
Martin Serpell
SESSION: Genetic Programming
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation
Qi Chen
Bing Xue
Lin Shang
Mengjie Zhang
The Impact of Hyperselection on Lexicase Selection
Thomas Helmuth
Nicholas Freitag McPhee
Lee Spector
Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic
Libin Hong
John H. Drake
John R. Woodward
Ender Özcan
Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network
Ting Hu
Wolfgang Banzhaf
Epsilon-Lexicase Selection for Regression
William La Cava
Lee Spector
Kourosh Danai
Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming
Paweł Liskowski
Krzysztof Krawiec
A New Wave: A Dynamic Approach to Genetic Programming
David Medernach
Jeannie Fitzgerald
R. Muhammad Atif Azad
Conor Ryan
Managing Repetition in Grammar-Based Genetic Programming
Miguel Nicolau
Michael Fenton
A Dispersion Operator for Geometric Semantic Genetic Programming
Luiz Otavio V.B. Oliveira
Fernando E.B. Otero
Gisele L. Pappa
Evolving Algebraic Constructions for Designing Bent Boolean Functions
Stjepan Picek
Domagoj Jakobovic
Discovering Rubik's Cube Subgroups using Coevolutionary GP: A Five Twist Experiment
Robert J. Smith
Stephen Kelly
Malcolm I. Heywood
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming
Marcin Szubert
Anuradha Kodali
Sangram Ganguly
Kamalika Das
Josh C. Bongard
SESSION: Integrative Genetic and Evolutionary Computation
Approximation of (
k
,
t
)-robust Equilibria
Tudor Dan Mihoc
Rodica Ioana Lung
Noémi Gaskó
Mihai Suciu
Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming
Léo F.D.P. Sotto
Regina C. Coelho
Vinícius V. de Melo
SESSION: Parallel Evolutionary Systems
The Seamless Peer and Cloud Evolution Framework
Guillaume Leclerc
Joshua E. Auerbach
Giovanni Iacca
Dario Floreano
Hardware-Accelerated Parallel Genetic Algorithm for Fitness Functions with Variable Execution Times
Yunfeng Ma
Leandro Soares Indrusiak
Performance for the Masses: Experiments with A Web Based Architecture to Harness Volunteer Resources for Low Cost Distributed Evolutionary Computation
Juan J. Merelo
Pedro A. Castillo
Pablo García-Sánchez
Paloma de las Cuevas
Nuria Rico
Mario García Valdez
Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms
Eric O. Scott
Kenneth A. De Jong
SESSION: Real World Applications
A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning
Márcio da Silva Arantes
Jesimar da Silva Arantes
Claudio Fabiano Motta Toledo
Brian C. Williams
Planning Habitat Restoration with Genetic Algorithms
Jana Brotankova
Tommaso Urli
Philip Kilby
New Bounds for Office Space Allocation using Tabu Search
Francisco Castillo
Maria-Cristina Riff
Elizabeth Montero
Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System
Mitchell Colby
Logan Yliniemi
Paolo Pezzini
David Tucker
Kenneth "Mark" Bryden
Kagan Tumer
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives
Sam Cramer
Michael Kampouridis
Alex Freitas
Planning Inspection Paths through Evolutionary Multi-objective Optimization
Kai Olav Ellefsen
Herman A. Lepikson
Jan C. Albiez
Evolutionary Design of Fast High-quality Hash Functions for Network Applications
David Grochol
Lukas Sekanina
A Genetic Algorithm for Rule-based Chart Pattern Search in Stock Market Prices
Myoung Hoon Ha
Sangyeop Lee
Byung-Ro Moon
Neuroevolution of a Hybrid Power Plant Simulator
Shauharda Khadka
Kagan Tumer
Mitch Colby
Dave Tucker
Paolo Pezzini
Kenneth Bryden
Measuring Source Code Similarity by Finding Similar Subgraph with an Incremental Genetic Algorithm
Jinhyun Kim
HyukGeun Choi
Hansang Yun
Byung-Ro Moon
Evolutionary Feature Subset Selection with Compression-based Entropy Estimation
Pavel Krömer
Jan Platoš
Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties
Zhichao Lu
Kalyanmoy Deb
Ankur Sinha
Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks
David Lynch
Michael Fenton
Stepan Kucera
Holger Claussen
Michael O'Neill
A Sparse Recurrent Neural Network for Trajectory Prediction of Atlantic Hurricanes
Mina Moradi Kordmahalleh
Mohammad Gorji Sefidmazgi
Abdollah Homaifar
Tackling the IFP Problem with the Preference-Based Genetic Algorithm
Sune S. Nielsen
Christof Ferreira Torres
Gregoire Danoy
Pascal Bouvry
Grammatical Evolutionary Techniques for Prompt Migraine Prediction
Josué Pagán
José L. Risco-Martín
José M. Moya
José L. Ayala
A Real World Multi-UAV Evolutionary Planner for Minimum Time Target Detection
Sara Perez-Carabaza
Eva Besada-Portas
Jose A. Lopez-Orozco
Jesus M. de la Cruz
Finding Interactions or Relationships between Customer Orders for Building Better Batches by Means of an Estimation of Distribution Algorithm-based Approach for the Online Order Batching Problem
Ricardo Pérez-Rodríguez
Arturo Hernández-Aguirre
Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing
Nasser R. Sabar
Andy Song
Benchmarks for the Coal Processing and Blending Problem
Sven Schellenberg
Xiaodong Li
Zbigniew Michalewicz
Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study
Daniel H. Stolfi
Rolando Armas
Enrique Alba
Hernan Aguirre
Kiyoshi Tanaka
Evolutionary Multiobjective Optimization of Winglets
Mateus A.M. Teixeira
Fillipe Goulart
Felipe Campelo
Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis
Maren Urselmann
Christophe Foussette
Tim Janus
Stephen Tlatlik
Axel Gottschalk
Michael T.M. Emmerich
Sebastian Engell
Thomas Bäck
Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search
Yunhai Wang
Yiming Qian
Yang Li
Minglun Gong
Wolfgang Banzhaf
Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters
Junhua Wu
Slava Shekh
Nataliia Y. Sergiienko
Benjamin S. Cazzolato
Boyin Ding
Frank Neumann
Markus Wagner
SESSION: Search-Based Software Engineering and Self-* Search
Test Case Prioritization of Configurable Cyber-Physical Systems with Weight-Based Search Algorithms
Aitor Arrieta
Shuai Wang
Goiuria Sagardui
Leire Etxeberria
Learning Overtime Dynamics Through Multiobjective Optimization
Marcio de O. Barros
Luiz Antonio O. de Araujo, Jr.
Grammatical Evolution for the Multi-Objective Integration and Test Order Problem
Thainá Mariani
Giovani Guizzo
Silvia R. Vergilio
Aurora T.R. Pozo
A Search-based Training Algorithm for Cost-aware Defect Prediction
Annibale Panichella
Carol V. Alexandru
Sebastiano Panichella
Alberto Bacchelli
Harald C. Gall
Search-Based Cost-Effective Test Case Selection within a Time Budget: An Empirical Study
Dipesh Pradhan
Shuai Wang
Shaukat Ali
Tao Yue
A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem
Kevin Sim
Emma Hart
SESSION: Theory
Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms
Marie-Liesse Cauwet
Olivier Teytaud
Optimal Parameter Settings for the (1 + λ, λ) Genetic Algorithm
Benjamin Doerr
The Right Mutation Strength for Multi-Valued Decision Variables
Benjamin Doerr
Carola Doerr
Timo Koetzing
Optimal Parameter Choices via Precise Black-Box Analysis
Benjamin Doerr
Carola Doerr
Jing Yang
The (1+1) Elitist Black-Box Complexity of LeadingOnes
Carola Doerr
Johannes Lengler
EDAs cannot be Balanced and Stable
Tobias Friedrich
Timo Kötzing
Martin S. Krejca
Optimal Mutation Rates for the (1+λ) EA on OneMax
Christian Gießen
Carsten Witt
The Impact of Migration Topology on the Runtime of Island Models in Dynamic Optimization
Andrei Lissovoi
Carsten Witt
When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys
Pietro S. Oliveto
Tiago Paixão
Jorge Pérez Heredia
Dirk Sudholt
Barbora Trubenová