GECCO '19- Proceedings of the Genetic and Evolutionary Computation Conference
Full Citation in the ACM Digital Library
SESSION: Keynote talk
Evolution, robotics and the somersaulting spider
Ingo Rechenberg
Genetic programming methods for reinforcement learning
Robert Babuska
Challenges for learning in complex environments
Raia Hadsell
SESSION: Ant colony optimization and swarm intelligence
AM
clr
: an improved ant-miner to extract comprehensible and diverse classification rules
Umair Ayub
Asim Ikram
Waseem Shahzad
A stable hybrid method for feature subset selection using particle swarm optimization with local search
Hassen Dhrif
Luis G. S. Giraldo
Miroslav Kubat
Stefan Wuchty
Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm
Kyle Erwin
Andries Engelbrecht
A peek into the swarm: analysis of the gravitational search algorithm and recommendations for parameter selection
Florian Knauf
Ralf Bruns
Simultaneous meta-data and meta-classifier selection in multiple classifier system
Tien Thanh Nguyen
Anh Vu Luong
Thi Minh Van Nguyen
Trong Sy Ha
Alan Wee-Chung Liew
John McCall
Scaling techniques for parallel ant colony optimization on large problem instances
Joshua Peake
Martyn Amos
Paraskevas Yiapanis
Huw Lloyd
On the selection of the optimal topology for particle swarm optimization: a study of the tree as the universal topology
Ángel Arturo Rojas-García
Arturo Hernández-Aguirre
S. Ivvan Valdez
SESSION: Complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware)
When mating improves on-line collective robotics
Amine Boumaza
Benchmarking open-endedness in minimal criterion coevolution
Jonathan C. Brant
Kenneth O. Stanley
Autonomous skill discovery with quality-diversity and unsupervised descriptors
Antoine Cully
Selection mechanisms affect volatility in evolving markets
David Rushing Dewhurst
Michael Vincent Arnold
Colin Michael Van Oort
Novelty search: a theoretical perspective
Stephane Doncieux
Alban Laflaquière
Alexandre Coninx
Evolvability ES: scalable and direct optimization of evolvability
Alexander Gajewski
Jeff Clune
Kenneth O. Stanley
Joel Lehman
Modeling user selection in quality diversity
Alexander Hagg
Alexander Asteroth
Thomas Bäck
Effects of environmental conditions on evolved robot morphologies and behavior
Karine Miras
A. E. Eiben
Evolved embodied phase coordination enables robust quadruped robot locomotion
Jørgen Nordmoen
Tønnes F. Nygaard
Kai Olav Ellefsen
Kyrre Glette
POET: open-ended coevolution of environments and their optimized solutions
Rui Wang
Joel Lehman
Jeff Clune
Kenneth O. Stanley
Learning with delayed synaptic plasticity
Anil Yaman
Giovanni Iacca
Decebal Constantin Mocanu
George Fletcher
Mykola Pechenizkiy
SESSION: Digital entertainment technologies and arts
Mapping hearthstone deck spaces through MAP-elites with sliding boundaries
Matthew C. Fontaine
Scott Lee
L. B. Soros
Fernando De Mesentier Silva
Julian Togelius
Amy K. Hoover
Tile pattern KL-divergence for analysing and evolving game levels
Simon M. Lucas
Vanessa Volz
Evolving dota 2 shadow fiend bots using genetic programming with external memory
Robert J. Smith
Malcolm I. Heywood
On the impact of domain-specific knowledge in evolutionary music composition
Csaba Sulyok
Christopher Harte
Zalán Bodó
SESSION: Evolutionary combinatorial optimization and metaheuristics
Algorithm selection using deep learning without feature extraction
Mohamad Alissa
Kevin Sim
Emma Hart
Route planning for cooperative air-ground robots with fuel constraints: an approach based on CMSA
Divansh Arora
Parikshit Maini
Pedro Pinacho-Davidson
Christian Blum
On inversely proportional hypermutations with mutation potential
Dogan Corus
Pietro S. Oliveto
Donya Yazdani
Adaptive large neighborhood search for scheduling of mobile robots
Quang-Vinh Dang
Hana Rudová
Cong Thanh Nguyen
Fast re-optimization via structural diversity
Benjamin Doerr
Carola Doerr
Frank Neumann
When resampling to cope with noise, use median, not mean
Benjamin Doerr
Andrew M. Sutton
A generic approach to districting with diameter or center-based objectives
Alex Gliesch
Marcus Ritt
A memetic algorithm approach to network alignment: mapping the classification of mental disorders of DSM-IV with ICD-10
Mohammad Nazmul Haque
Luke Mathieson
Pablo Moscato
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections
Leticia Hernando
Alexander Mendiburu
Jose A. Lozano
Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization
Naama Horesh
Thomas Bäck
Ofer M. Shir
A characterisation of S-box fitness landscapes in cryptography
Domagoj Jakobovic
Stjepan Picek
Marcella S. R. Martins
Markus Wagner
An improved merge search algorithm for the constrained pit problem in open-pit mining
Angus Kenny
Xiaodong Li
Andreas T. Ernst
Yuan Sun
Walsh functions as surrogate model for pseudo-boolean optimization problems
Florian Leprêtre
Sébastien Verel
Cyril Fonlupt
Virginie Marion
Fitness comparison by statistical testing in construction of SAT-based guess-and-determine cryptographic attacks
Artem Pavlenko
Maxim Buzdalov
Vladimir Ulyantsev
Application of CMSA to the minimum capacitated dominating set problem
Pedro Pinacho-Davidson
Salim Bouamama
Christian Blum
Investigation of the traveling thief problem
Rogier Hans Wuijts
Dirk Thierens
Evolutionary algorithms for the chance-constrained knapsack problem
Yue Xie
Oscar Harper
Hirad Assimi
Aneta Neumann
Frank Neumann
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling
Fangfang Zhang
Yi Mei
Mengjie Zhang
SESSION: Evolutionary machine learning
Lexicase selection in learning classifier systems
Sneha Aenugu
Lee Spector
An automated ensemble learning framework using genetic programming for image classification
Ying Bi
Bing Xue
Mengjie Zhang
COEGAN: evaluating the coevolution effect in generative adversarial networks
Victor Costa
Nuno Lourenço
João Correia
Penousal Machado
Efficient personalized community detection via genetic evolution
Zheng Gao
Chun Guo
Xiaozhong Liu
Auto-CVE: a coevolutionary approach to evolve ensembles in automated machine learning
Celio H. N. Larcher, Jr.
Helio J. C. Barbosa
Evolutionary neural AutoML for deep learning
Jason Liang
Elliot Meyerson
Babak Hodjat
Dan Fink
Karl Mutch
Risto Miikkulainen
Absumption to complement subsumption in learning classifier systems
Yi Liu
Will N. Browne
Bing Xue
NSGA-Net: neural architecture search using multi-objective genetic algorithm
Zhichao Lu
Ian Whalen
Vishnu Boddeti
Yashesh Dhebar
Kalyanmoy Deb
Erik Goodman
Wolfgang Banzhaf
Improvement of code fragment fitness to guide feature construction in XCS
Trung B. Nguyen
Will N. Browne
Mengjie Zhang
Population-based ensemble classifier induction for domain adaptation
Bach Hoai Nguyen
Bing Xue
Mengjie Zhang
Peter Andreae
Investigating recurrent neural network memory structures using neuro-evolution
Alexander Ororbia
AbdElRahman ElSaid
Travis Desell
Deep neuroevolution of recurrent and discrete world models
Sebastian Risi
Kenneth O. Stanley
Evolving controllably difficult datasets for clustering
Cameron Shand
Richard Allmendinger
Julia Handl
Andrew Webb
John Keane
Spatial evolutionary generative adversarial networks
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification
Binh Tran
Bing Xue
Mengjie Zhang
Evolving deep neural networks by multi-objective particle swarm optimization for image classification
Bin Wang
Yanan Sun
Bing Xue
Mengjie Zhang
SESSION: Evolutionary multiobjective optimization
A parameterless performance metric for reference-point based multi-objective evolutionary algorithms
Sunith Bandaru
Henrik Smedberg
Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis
Nicolas Berveglieri
Bilel Derbel
Arnaud Liefooghe
Hernán Aguirre
Kiyoshi Tanaka
On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem
Jakob Bossek
Christian Grimme
Frank Neumann
Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms
Jesús Guillermo Falcón-Cardona
Carlos A. Coello Coello
Efficient real-time hypervolume estimation with monotonically reducing error
Jonathan E. Fieldsend
A feature rich distance-based many-objective visualisable test problem generator
Jonathan E. Fieldsend
Tinkle Chugh
Richard Allmendinger
Kaisa Miettinen
Cooperative based hyper-heuristic for many-objective optimization
Gian Fritsche
Aurora Pozo
Challenges of convex quadratic bi-objective benchmark problems
Tobias Glasmachers
Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering
S. C. Maree
T. Alderliesten
P. A. N. Bosman
A 'phylogeny-aware' multi-objective optimization approach for computing MSA
Muhammad Ali Nayeem
Md. Shamsuzzoha Bayzid
Atif Hasan Rahman
Rifat Shahriyar
M. Sohel Rahman
Constrained multiobjective distance minimization problems
Yusuke Nojima
Takafumi Fukase
Yiping Liu
Naoki Masuyama
Hisao Ishibuchi
An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization
Annibale Panichella
Multi-objective evolutionary algorithm for DNA codeword design
Jeisson Prieto
Jonatan Gomez
Elizabeth Leon
Non-elitist evolutionary multi-objective optimizers revisited
Ryoji Tanabe
Hisao Ishibuchi
Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms
Leonardo C. T. Bezerra
Manuel López-Ibáñez
Thomas Stützle
Robust indicator-based algorithm for interactive evolutionary multiple objective optimization
Michał K. Tomczyk
Miłosz Kadziński
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework
Cheikh Touré
Nikolaus Hansen
Anne Auger
Dimo Brockhoff
Single- and multi-objective game-benchmark for evolutionary algorithms
Vanessa Volz
Boris Naujoks
Pascal Kerschke
Tea Tušar
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization
Kaifeng Yang
Pramudita Satria Palar
Michael Emmerich
Koji Shimoyama
Thomas Bäck
SESSION: Evolutionary numerical optimization
A global surrogate assisted CMA-ES
Nikolaus Hansen
Analysis of a meta-ES on a conically constrained problem
Michael Hellwig
Hans-Georg Beyer
Large-scale noise-resilient evolution-strategies
Oswin Krause
Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy
Zbyněk Pitra
Jakub Repický
Martin Holeňa
Adaptive ranking based constraint handling for explicitly constrained black-box optimization
Naoki Sakamoto
Youhei Akimoto
Deep reinforcement learning based parameter control in differential evolution
Mudita Sharma
Alexandros Komninos
Manuel López-Ibáñez
Dimitar Kazakov
Mixed-integer benchmark problems for single- and bi-objective optimization
Tea Tušar
Dimo Brockhoff
Nikolaus Hansen
A surrogate model assisted (1+1)-ES with increased exploitation of the model
Jingyun Yang
Dirk V. Arnold
SESSION: Genetic algorithms
Parallelism and partitioning in large-scale GAs using spark
Laila Alterkawi
Matteo Migliavacca
A genetic algorithm hybridisation scheme for effective use of parallel workers
Simon Bowly
Convolutional neural network surrogate-assisted GOMEA
Arkadiy Dushatskiy
Adriënne M. Mendrik
Tanja Alderliesten
Peter A. N. Bosman
On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms
Yohanes Bimo Dwianto
Hiroaki Fukumoto
Akira Oyama
A benefit-driven genetic algorithm for balancing privacy and utility in database fragmentation
Yong-Feng Ge
Jinli Cao
Hua Wang
Jiao Yin
Wei-Jie Yu
Zhi-Hui Zhan
Jun Zhang
Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms
René González
Marley Vellasco
Karla Figueiredo
An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms
Mario Alejandro
Hevia Fajardo
Intentional computational level design
Ahmed Khalifa
Michael Cerny Green
Gabriella Barros
Julian Togelius
Parametrizing convection selection: conclusions from the analysis of performance in the NKq model
Maciej Komosinski
Konrad Miazga
Evolutionary consequences of learning strategies in a dynamic rugged landscape
Nam Le
Michael O'Neill
Anthony Brabazon
On the investigation of population sizing of genetic algorithms using optimal mixing
Yi-Yun Liao
Hung-Wei Hsu
Yi-Lin Juang
Tian-Li Yu
Multi-heap constraint handling in gray box evolutionary algorithms
Thiago Macedo Gomes
Alan Robert Resende de Freitas
Rodolfo Ayala Lopes
Evolutionary diversity optimization using multi-objective indicators
Aneta Neumann
Wanru Gao
Markus Wagner
Frank Neumann
A lexicographic genetic algorithm for hierarchical classification rule induction
Gean Trindade Pereira
Paulo. H. R. Gabriel
Ricardo Cerri
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates
Anna Rodionova
Kirill Antonov
Arina Buzdalova
Carola Doerr
A combination of two simple decoding strategies for the no-wait job shop scheduling problem
Víctor M. Valenzuela
Carlos A. Brizuela
MA Cosío-León
A. Danisa Romero-Ocaño
The massively parallel
mixing genetic algorithm
for the traveling salesman problem
Swetha Varadarajan
Darrell Whitley
SESSION: General evolutionary computation and hybrids
Adaptive objective selection for multi-fidelity optimization
Youhei Akimoto
Takuma Shimizu
Takahiro Yamaguchi
Hyper-parameter tuning for the (1 + (
λ, λ
)) GA
Nguyen Dang
Carola Doerr
Scenario co-evolution for reinforcement learning on a grid world smart factory domain
Thomas Gabor
Andreas Sedlmeier
Marie Kiermeier
Thomy Phan
Marcel Henrich
Monika Pichlmair
Bernhard Kempter
Cornel Klein
Horst Sauer
Reiner SchmidSiemens AG
Jan Wieghardt
On the impact of the cutoff time on the performance of algorithm configurators
George T. Hall
Pietro S. Oliveto
Dirk Sudholt
Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis
Daniel Horn
Jörg Stork
Nils-Jannik Schüßler
Martin Zaefferer
Meta-learning on flowshop using fitness landscape analysis
Lucas Marcondes Pavelski
Myriam Regattieri Delgado
Marie-Éléonore Kessaci
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning
Jörg Stork
Martin Zaefferer
Thomas Bartz-Beielstein
A. E. Eiben
Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms
Hao Tong
Jialin Liu
Xin Yao
Online selection of CMA-ES variants
Diederick Vermetten
Sander van Rijn
Thomas Bäck
Carola Doerr
Using subpopulation EAs to map molecular structure landscapes
Ahmed Bin Zaman
Kenneth De Jong
Amarda Shehu
SESSION: Genetic programming
Evolving graphs with horizontal gene transfer
Timothy Atkinson
Detlef Plump
Susan Stepney
Solving symbolic regression problems with formal constraints
Iwo Błądek
Krzysztof Krawiec
Gin: genetic improvement research made easy
Alexander E. I. Brownlee
Justyna Petke
Brad Alexander
Earl T. Barr
Markus Wagner
David R. White
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament
Vinícius V. de Melo
Danilo Vasconcellos Vargas
Wolfgang Banzhaf
Evolving boolean functions with conjunctions and disjunctions via genetic programming
Benjamin Doerr
Andrei Lissovoi
Pietro S. Oliveto
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models
Benjamin P. Evans
Bing Xue
Mengjie Zhang
Promoting semantic diversity in multi-objective genetic programming
Edgar Galván
Marc Schoenauer
Lexicase selection of specialists
Thomas Helmuth
Edward Pantridge
Lee Spector
On domain knowledge and novelty to improve program synthesis performance with grammatical evolution
Erik Hemberg
Jonathan Kelly
Una-May O'Reilly
Comparing and combining lexicase selection and novelty search
Lia Jundt
Thomas Helmuth
Semantic variation operators for multidimensional genetic programming
William La Cava
Jason H. Moore
Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches
Dominik Sobania
Franz Rothlauf
On the role of non-effective code in linear genetic programming
Léo Françoso Dal Piccol Sotto
Franz Rothlauf
Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression
Marco Virgolin
Tanja Alderliesten
Peter A. N. Bosman
Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem
Shaolin Wang
Yi Mei
Mengjie Zhang
SESSION: Real world applications
Optimising bus routes with fixed terminal nodes: comparing hyper-heuristics with NSGAII on realistic transportation networks
Leena Ahmed
Philipp Heyken-Soares
Christine Mumford
Yong Mao
GenAttack: practical black-box attacks with gradient-free optimization
Moustafa Alzantot
Yash Sharma
Supriyo Chakraborty
Huan Zhang
Cho-Jui Hsieh
Mani B. Srivastava
Evolving robust policies for community energy system management
Rui P. Cardoso
Emma Hart
Jeremy V. Pitt
Evolving stellar models to find the origins of our galaxy
Conrad Chan
Aldeida Aleti
Alexander Heger
Kate Smith-Miles
Toward real-world vehicle placement optimization in round-trip carsharing
Boonyarit Changaival
Grégoire Danoy
Dzmitry Kliazovich
Frédéric Guinand
Matthias R. Brust
Jedrzej Musial
Kittichai Lavangnananda
Pascal Bouvry
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm
Tinkle Chugh
Tomas Kratky
Kaisa Miettinen
Yaochu Jin
Pekka Makonen
Relative evolutionary hierarchical analysis for gene expression data classification
Marcin Czajkowski
Marek Kretowski
Differential evolution based spatial filter optimization for brain-computer interface
Gabriel Henrique de Souza
Heder Soares Bernardino
Alex Borges Vieira
Helio J. C. Barbosa
EMOCS: evolutionary multi-objective optimisation for clinical scorecard generation
Diane P. Fraser
Edward Keedwell
Stephen L. Michell
Ray Sheridan
Optimizing evolutionary CSG tree extraction
Markus Friedrich
Pierre-Alain Fayolle
Thomas Gabor
Claudia Linnhoff-Popien
EVA: an evolutionary architecture for network virtualization
Ekaterina Holdener
Flavio Esposito
Dmitri Chemodanov
Statistical learning in soil sampling design aided by pareto optimization
Assaf Israeli
Michael Emmerich
Michael (Iggy) Litaor
Ofer M. Shir
Towards better generalization in WLAN positioning systems with genetic algorithms and neural networks
Diogo M. F. Izidio
Antonyus P. do A. Ferreira
Edna N. da S. Barros
Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation
Matthew B. Johns
Herman A. Mahmoud
David J. Walker
Nicholas D. F. Ross
Edward C. Keedwell
Dragan A. Savic
Optimising trotter-suzuki decompositions for quantum simulation using evolutionary strategies
Benjamin D. M. Jones
David R. White
George O. O'Brien
John A. Clark
Earl T. Campbell
GA-guided task planning for multiple-HAPS in realistic time-varying operation environments
Jane Jean Kiam
Eva Besada-Portas
Valerie Hehtke
Axel Schulte
Stability analysis for safety of automotive multi-product lines: a search-based approach
Nian-Ze Lee
Paolo Arcaini
Shaukat Ali
Fuyuki Ishikawa
Structured grammatical evolution for glucose prediction in diabetic patients
Nuno Lourenço
J. Manuel Colmenar
J. Ignacio Hidalgo
Óscar Garnica
Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks
David Lynch
Takfarinas Saber
Stepan Kucera
Holger Claussen
Michael O'Neill
Surrogate-based optimization for reduction of contagion susceptibility in financial systems
Krzysztof Michalak
Classification of EEG signals using genetic programming for feature construction
Ícaro Marcelino Miranda
Claus Aranha
Marcelo Ladeira
Well placement optimization under geological statistical uncertainty
Atsuhiro Miyagi
Youhei Akimoto
Hajime Yamamoto
A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters
Mehdi Neshat
Bradley Alexander
Nataliia Y. Sergiienko
Markus Wagner
Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty
Guillaume Povéda
Olivier Regnier-Coudert
Florent Teichteil-Königsbuch
Gérard Dupont
Alexandre Arnold
Jonathan Guerra
Mathieu Picard
A hybrid metaheuristic approach to a real world employee scheduling problem
Kenneth N. Reid
Jingpeng Li
Alexander Brownlee
Mathias Kern
Nadarajen Veerapen
Jerry Swan
Gilbert Owusu
A novel hybrid scheme using genetic algorithms and deep learning for the reconstruction of portuguese tile panels
Daniel Rika
Dror Sholomon
Eli (Omid) David
Nathan S. Netanyahu
Sentiment analysis with genetically evolved gaussian kernels
I. Roman
A. Mendiburu
R. Santana
J. A. Lozano
A hybrid multi-objective evolutionary algorithm for economic-environmental generation scheduling
Vasilios Tsalavoutis
Constantinos Vrionis
Athanasios Tolis
An illumination algorithm approach to solving the micro-depot routing problem
Neil Urquhart
Silke Höhl
Emma Hart
Toward inverse generative social science using multi-objective genetic programming
Tuong Manh Vu
Charlotte Probst
Joshua M. Epstein
Alan Brennan
Mark Strong
Robin C. Purshouse
Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification
Neil S. Walton
John W. Sheppard
Joseph A. Shaw
Functional generative design of mechanisms with recurrent neural networks and novelty search
Cameron R. Wolfe
Cem C. Tutum
Risto Miikkulainen
Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories
Shuai Zhao
Piotr Dziurzanski
Michal Przewozniczek
Marcin Komarnicki
Leandro Soares Indrusiak
SESSION: Search-based software engineering
SQL data generation to enhance search-based system testing
Andrea Arcuri
Juan P. Galeotti
Footprints of fitness functions in search-based software testing
Carlos Oliveira
Aldeida Aleti
Yuan-Fang Li
Mohamed Abdelrazek
Why train-and-select when you can use them all?: ensemble model for fault localisation
Jeongju Sohn
Shin Yoo
A hybrid evolutionary system for automatic software repair
Yuan Yuan
Wolfgang Banzhaf
Resource-based test case generation for RESTful web services
Man Zhang
Bogdan Marculescu
Andrea Arcuri
Improving search-based software testing by constraint-based genetic operators
Ziming Zhu
Li Jiao
SESSION: Theory
Runtime analysis of randomized search heuristics for dynamic graph coloring
Jakob Bossek
Frank Neumann
Pan Peng
Dirk Sudholt
On the benefits of populations for the exploitation speed of standard steady-state genetic algorithms
Dogan Corus
Pietro S. Oliveto
The efficiency threshold for the offspring population size of the (
µ, λ
) EA
Denis Antipov
Benjamin Doerr
Quentin Yang
Multiplicative up-drift
Benjamin Doerr
Timo Kötzing
Self-adjusting mutation rates with provably optimal success rules
Benjamin Doerr
Carola Doerr
Johannes Lengler
A tight runtime analysis for the cGA on jump functions: EDAs can cross fitness valleys at no extra cost
Benjamin Doerr
Runtime analysis of the univariate marginal distribution algorithm under low selective pressure and prior noise
Per Kristian Lehre
Phan Trung Hai Nguyen
Improved runtime results for simple randomised search heuristics on linear functions with a uniform constraint
Frank Neumann
Mojgan Pourhassan
Carsten Witt
Lower bounds on the runtime of crossover-based algorithms via decoupling and family graphs
Andrew M. Sutton
Carsten Witt