TOC GECCO 2019 global

GECCO '19- Proceedings of the Genetic and Evolutionary Computation Conference

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

AMclr: 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


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