GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference

Full Citation in the ACM Digital Library

Biological evolution as a form of learning

• Leslie Valiant

Evolutionary computation's niche for solving multi-criterion optimization problems

• Kalyanmoy Deb

Removing randomness from evolutionary algorithms

• Darrell Whitley

SESSION: Ant colony optimization and swarm intelligence

A weighted population update rule for PACO applied to the single machine total weighted tardiness problem

• Daniel Abitz
• Tom Hartmann
• Martin Middendorf

ACO with automatic parameter selection for a scheduling problem with a group cumulative constraint

• Lucas Groleaz
• Samba N. Ndiaye
• Christine Solnon

A multiobjective optimization approach for market timing

• Ismail Mohamed
• Fernando E. B. Otero

An approach to assess swarm intelligence algorithms based on complex networks

• Clodomir Santana
• Edward Keedwell
• Ronaldo Menezes

Exploratory path planning for mobile robots in dynamic environments with ant colony optimization

• Valéria de C. Santos
• Fernando E. B. Otero
• Colin Johnson
• Fernando S. Osório
• Cláudio F. M. Toledo

SESSION: Complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware)

Learning behaviour-performance maps with meta-evolution

• David M. Bossens
• Jean-Baptiste Mouret
• Danesh Tarapore

Diversity preservation in minimal criterion coevolution through resource limitation

• Jonathan C. Brant
• Kenneth O. Stanley

Scaling MAP-Elites to deep neuroevolution

• Cédric Colas
• Vashisht Madhavan
• Joost Huizinga
• Jeff Clune

Evolving ab initio trading strategies in heterogeneous environments

• David Rushing Dewhurst
• Yi Li
• Alexander Bogdan
• Jasmine Geng

Novelty search makes evolvability inevitable

• Stephane Doncieux
• Giuseppe Paolo
• Alban Laflaquière
• Alexandre Coninx

Covariance matrix adaptation for the rapid illumination of behavior space

• Matthew C. Fontaine
• Julian Togelius
• Stefanos Nikolaidis
• Amy K. Hoover

Discovering representations for black-box optimization

• Adam Gaier
• Alexander Asteroth
• Jean-Baptiste Mouret

Evolution of distributed neural controllers for voxel-based soft robots

• Eric Medvet
• Alberto Bartoli
• Andrea De Lorenzo
• Giulio Fidel

Quality diversity for multi-task optimization

• Jean-Baptiste Mouret
• Glenn Maguire

Towards crossing the reality gap with evolved plastic neurocontrollers

• Huanneng Qiu
• Matthew Garratt
• David Howard
• Sreenatha Anavatti

SESSION: Digital entertainment technologies and arts

CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation

• Jacob Schrum
• Vanessa Volz
• Sebastian Risi

Interactive evolution and exploration within latent level-design space of generative adversarial networks

• Jacob Schrum
• Jake Gutierrez
• Vanessa Volz
• Jialin Liu
• Simon Lucas
• Sebastian Risi

SESSION: Evolutionary combinatorial optimization and metaheuristics

A deep learning approach to predicting solutions in streaming optimisation domains

• Mohamad Alissa
• Kevin Sim
• Emma Hart

Dynamic bi-objective routing of multiple vehicles

• Jakob Bossek
• Christian Grimme
• Heike Trautmann

A robust experimental evaluation of automated multi-label classification methods

• Alex G. C. de Sá
• Cristiano G. Pimenta
• Gisele L. Pappa
• Alex A. Freitas

Do sophisticated evolutionary algorithms perform better than simple ones?

• Michael Foster
• Matthew Hughes
• George O'Brien
• Pietro S. Oliveto
• James Pyle
• Dirk Sudholt
• James Williams

Solving constrained combinatorial reverse auctions using MOEAs: a comparative study

• Elaine Guerrero-Peña
• Fernanda Nakano Kazama
• Paulo de Barros Correia
• Aluizio F. R. Araújo

Journey to the center of the linear ordering problem

• Leticia Hernando
• Alexander Mendiburu
• Jose A. Lozano

Solving the single row facility layout problem by differential evolution

• Pavel Krömer
• Jan Platoš
• Václav Snášel

Multi-layer local optima networks for the analysis of advanced local search-based algorithms

• Marcella S. R. Martins
• Mohamed El Yafrani
• Myriam R. B. S. Delgado
• Ricardo Lüders

Just-in-time batch scheduling subject to batch size

• Sergey Polyakovskiy
• Dhananjay Thiruvady
• Rym M'Hallah

Advanced statistical analysis of empirical performance scaling

• Yasha Pushak
• Holger H. Hoos

Golden parameter search: exploiting structure to quickly configure parameters in parallel

• Yasha Pushak
• Holger H. Hoos

Why many travelling salesman problem instances are easier than you think

• Swetha Varadarajan
• Darrell Whitley
• Gabriela Ochoa

Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach

• Jake Weiner
• Andreas Ernst
• Xiaodong Li
• Yuan Sun

Specific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem

• Yue Xie
• Aneta Neumann
• Frank Neumann

SESSION: Evolutionary machine learning

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems

• Eseoghene Ben-Iwhiwhu
• Pawel Ladosz
• Jeffery Dick
• Wen-Hua Chen
• Praveen Pilly
• Andrea Soltoggio

Evolutionary optimization of deep learning activation functions

• Garrett Bingham
• William Macke
• Risto Miikkulainen

Exploring the evolution of GANs through quality diversity

• Victor Costa
• Nuno Lourenço
• João Correia
• Penousal Machado

Feature standardisation and coefficient optimisation for effective symbolic regression

• Grant Dick
• Caitlin A. Owen
• Peter A. Whigham

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation

• AbdElRahman ElSaid
• Joshua Karns
• Zimeng Lyu
• Daniel Krutz
• Alexander Ororbia
• Travis Desell

Improving generalisation of AutoML systems with dynamic fitness evaluations

• Benjamin P. Evans
• Bing Xue
• Mengjie Zhang

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism

• Germán González-Almagro
• Alejandro Rosales-Pérez
• Julián Luengo
• José-Ramón Cano
• Salvador García

Self-adaptation of XCS learning parameters based on learning theory

• Motoki Horiuchi
• Masaya Nakata

GeneCAI: genetic evolution for acquiring compact AI

• Mojan Javaheripi
• Mohammad Samragh
• Tara Javidi
• Farinaz Koushanfar

Program synthesis as latent continuous optimization: evolutionary search in neural embeddings

• Paweł Liskowski
• Krzysztof Krawiec
• Nihat Engin Toklu
• Jerry Swan

Absumption and subsumption based learning classifier systems

• Yi Liu
• Will N. Browne
• Bing Xue

Relatedness measures to aid the transfer of building blocks among multiple tasks

• Trung B. Nguyen
• Will N. Browne
• Mengjie Zhang

Neural architecture search for sparse DenseNets with dynamic compression

• Damien O'Neill
• Bing Xue
• Mengjie Zhang

Lateralized learning for robustness against adversarial attacks in a visual classification system

• Abubakar Siddique
• Will N. Browne
• Gina M. Grimshaw

XCS classifier system with experience replay

• Anthony Stein
• Roland Maier
• Lukas Rosenbauer
• Jörg Hähner

Neuroevolution of self-interpretable agents

• Yujin Tang
• Duong Nguyen
• David Ha

Re-purposing heterogeneous generative ensembles with evolutionary computation

• Jamal Toutouh
• Erik Hemberg
• Una-May O'Reily

Safe crossover of neural networks through neuron alignment

• Thomas Uriot
• Dario Izzo

Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection

• Hang Xu
• Bing Xue
• Mengjie Zhang

Multi-fitness learning for behavior-driven cooperation

• Connor Yates
• Reid Christopher
• Kagan Tumer

SESSION: Evolutionary multiobjective optimization

Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition

• Nicolas Berveglieri
• Bilel Derbel
• Arnaud Liefooghe
• Hernán Aguirre
• Qingfu Zhang
• Kiyoshi Tanaka

Multi-objective hyperparameter tuning and feature selection using filter ensembles

• Martin Binder
• Julia Moosbauer
• Janek Thomas
• Bernd Bischl

Computation of the improvement directions of the Pareto front and its application to MOEAs

• Salvador Botello-Aceves
• Arturo Hernandez-Aguirre
• S. Ivvan Valdez

Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances

• Jonathan. E. Fieldsend

Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms

• Linjun He
• Auraham Camacho
• Hisao Ishibuchi

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms

• Hisao Ishibuchi
• Takashi Matsumoto
• Naoki Masuyama
• Yusuke Nojima

If unsure, shuffle: deductive sort is Θ(MN3), but O(MN2) in expectation over input permutations

• Sumit Mishra
• Maxim Buzdalov

What is a good direction vector set for the R2-based hypervolume contribution approximation

• Yang Nan
• Ke Shang
• Hisao Ishibuchi

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems

• Yoshihiko Ozaki
• Yuki Tanigaki
• Shuhei Watanabe
• Masaki Onishi

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis

• Geoffrey Pruvost
• Bilel Derbel
• Arnaud Liefooghe
• Sébastien Verel
• Qingfu Zhang

Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem

• Vahid Roostapour
• Jakob Bossek
• Frank Neumann

Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems

• Xiaoran Ruan
• Ke Li
• Bilel Derbel
• Arnaud Liefooghe

On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization

• Michał K. Tomczyk
• Miłosz Kadziński

Gap finding and validation in evolutionary multi- and many-objective optimization

• Pablo Valledor Pellicer
• Miguel Iglesias Escudero
• Silvino Fernández Alzueta
• Kalyanmoy Deb

Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times

• Xilu Wang
• Yaochu Jin
• Sebastian Schmitt
• Markus Olhofer

Constraint handling within MOEA/D through an additional scalarizing function

• Saúl Zapotecas-Martínez
• Antonin Ponsich

SESSION: Evolutionary numerical optimization

Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm

• Anton Bouter
• Stefanus C. Maree
• Tanja Alderliesten
• Peter A. N. Bosman

Distributed random walks for fitness landscape analysis

• Ryan Dieter Lang
• Andries Petrus Engelbrecht

Versatile black-box optimization

• Jialin Liu
• Antoine Moreau
• Mike Preuss
• Jeremy Rapin
• Baptiste Roziere
• Fabien Teytaud
• Olivier Teytaud

A surrogate-assisted metaheuristic for bilevel optimization

• Jesús-Adolfo Mejía-de-Dios
• Efrén Mezura-Montes

Deep generative model for non-convex constraint handling

• Naoki Sakamoto
• Eiji Semmatsu
• Kazuto Fukuchi
• Jun Sakuma
• Youhei Akimoto

Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution

• Ryoji Tanabe

Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case

• Diederick Vermetten
• Hao Wang
• Thomas Bäck
• Carola Doerr

SESSION: Genetic algorithms

An improved GPU-accelerated heuristic technique applied to the capacitated vehicle routing problem

• Marwan F. Abdelatti
• Manbir S. Sodhi

AutoLR: an evolutionary approach to learning rate policies

• Pedro Carvalho
• Nuno Lourenço
• Filipe Assunção
• Penousal Machado

Evolving diverse sets of tours for the travelling salesperson problem

• Anh Viet Do
• Jakob Bossek
• Aneta Neumann
• Frank Neumann

Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking

• Yohanes Bimo Dwianto
• Hiroaki Fukumoto
• Akira Oyama

Genetic algorithm for the weight maximization problem on weighted automata

• Elena Gutiérrez
• Takamasa Okudono
• Masaki Waga
• Ichiro Hasuo

Comparative mixing for DSMGA-II

• Marcin M. Komarnicki
• Michal W. Przewozniczek
• Tomasz M. Durda

A biased random key genetic algorithm applied to the VRPTW with skill requirements and synchronization constraints

• Alberto F. Kummer N.
• Luciana S. Buriol
• Olinto C. B. de Araújo

Multi-layer heterogeneous ensemble with classifier and feature selection

• Tien Thanh Nguyen
• Nang Van Pham
• Manh Truong Dang
• Anh Vu Luong
• John McCall
• Alan Wee Chung Liew

New search operators for node-depth based encoding

• Gustavo Post Sabin
• Telma Woerle de Lima
• Anderson da Silva Soares

On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems

• Michal W. Przewozniczek
• Bartosz Frej
• Marcin M. Komarnicki

Modelling parameter configuration spaces with local optima networks

• German Treimun-Costa
• Elizabeth Montero
• Gabriela Ochoa
• Nicolás Rojas-Morales

Understanding transforms of pseudo-boolean functions

• Darrell Whitley
• Hernan Aguirre
• Andrew Sutton

SESSION: General evolutionary computation and hybrids

Using implicit multi-objectives properties to mitigate against forgetfulness in coevolutionary algorithms

• Adefunke Akinola
• Mark Wineberg

Initial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB

• Jakob Bossek
• Carola Doerr
• Pascal Kerschke

ϵ-shotgun: ϵ-greedy batch bayesian optimisation

• George De Ath
• Richard M. Everson
• Jonathan E. Fieldsend
• Alma A. M. Rahat

Bivariate estimation-of-distribution algorithms can find an exponential number of optima

• Benjamin Doerr
• Martin S. Krejca

From understanding genetic drift to a smart-restart parameter-less compact genetic algorithm

• Benjamin Doerr
• Weijie Zheng

Effective reinforcement learning through evolutionary surrogate-assisted prescription

• Olivier Francon
• Santiago Gonzalez
• Babak Hodjat
• Elliot Meyerson
• Risto Miikkulainen
• Xin Qiu
• Hormoz Shahrzad

Analysis of the performance of algorithm configurators for search heuristics with global mutation operators

• George T. Hall
• Pietro S. Oliveto
• Dirk Sudholt

On the choice of the parameter control mechanism in the (1+(λ, λ)) genetic algorithm

• Mario Alejandro Hevia Fajardo
• Dirk Sudholt

Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants

• Anja Jankovic
• Carola Doerr

Algorithm selection of anytime algorithms

• Alexandre D. Jesus
• Arnaud Liefooghe
• Bilel Derbel
• Luís Paquete

CMA-ES for one-class constraint synthesis

• Marcin Karmelita
• Tomasz P. Pawlak

Expected improvement versus predicted value in surrogate-based optimization

• Frederik Rehbach
• Martin Zaefferer
• Boris Naujoks
• Thomas Bartz-Beielstein

Model-based optimization with concept drifts

• Jakob Richter
• Junjie Shi
• Jian-Jia Chen
• Jörg Rahnenführer
• Michel Lang

An evolutionary optimization algorithm for gradually saturating objective functions

• Dolly Sapra
• Andy D. Pimentel

Sensitivity analysis in constrained evolutionary optimization

• Julian Schulte
• Volker Nissen

Integrated vs. sequential approaches for selecting and tuning CMA-ES variants

• Diederick Vermetten
• Hao Wang
• Carola Doerr
• Thomas Bäck

SESSION: Genetic programming

Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data

• Baligh Al-Helali
• Qi Chen
• Bing Xue
• Mengjie Zhang

Improving symbolic regression based on correlation between residuals and variables

• Qi Chen
• Bing Xue
• Mengjie Zhang

A study on graph representations for genetic programming

• Léo Françoso D. P. Sotto
• Paul Kaufmann
• Timothy Atkinson
• Roman Kalkreuth
• Márcio Porto Basgalupp

Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design

• David Hodan
• Vojtech Mrazek
• Zdenek Vasicek

A modular memory framework for time series prediction

• Stephen Kelly
• Jacob Newsted
• Wolfgang Banzhaf
• Cedric Gondro

Symbolic regression driven by training data and prior knowledge

• Jiří Kubalík
• Erik Derner
• Robert Babuška

Genetic programming approaches to learning fair classifiers

• William La Cava
• Jason H. Moore

Unlabeled multi-target regression with genetic programming

• Uriel López
• Leonardo Trujillo
• Sara Silva
• Leonardo Vanneschi
• Pierrick Legrand

Towards an evolutionary-based approach for natural language processing

• Luca Manzoni
• Domagoj Jakobovic
• Luca Mariot
• Stjepan Picek
• Mauro Castelli

Code building genetic programming

• Edward Pantridge
• Lee Spector

Adaptive weighted splines: a new representation to genetic programming for symbolic regression

• Christian Raymond
• Qi Chen
• Bing Xue
• Mengjie Zhang

Constructing efficient multigrid solvers with genetic programming

• Jonas Schmitt
• Sebastian Kuckuk
• Harald Köstler

Novelty search for automatic bug repair

• Omar M. Villanueva
• Leonardo Trujillo
• Daniel E Hernandez

Synthesis through unification genetic programming

• Thomas Welsch
• Vitaliy Kurlin

DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming

• David Wittenberg
• Franz Rothlauf
• Dirk Schweim

SESSION: Real world applications

Towards sustainable forest management strategies with MOEAs

• Philipp Back
• Antti Suominen
• Pekka Malo
• Olli Tahvonen
• Julian Blank
• Kalyanmoy Deb

Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems

• Alessandro Calò
• Paolo Arcaini
• Shaukat Ali
• Florian Hauer
• Fuyuki Ishikawa

One property to rule them all?: on the limits of trade-offs for S-boxes

• Marko Djurasevic
• Domagoj Jakobovic
• Stjepan Picek

Surrogate-assisted asynchronous multiobjective algorithm for nuclear power plant operations

• V. Drouet
• S. Verel
• J.-M. Do

Multi-objective optimal distribution of materials in hybrid components

• Thomas Gossuin
• Didier Garray
• Vincent Kelner

Modeling wildfire using evolutionary cellular automata

• Maxfield E. Green
• Todd F. DeLuca
• Karl WD. Kaiser

Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approach

• Mohammad Haqqani
• Xiaodong Li
• Xinghuo Yu

A memetic level-based learning swarm optimizer for large-scale water distribution network optimization

• Ya-Hui Jia
• Yi Mei
• Mengjie Zhang

Adaptive augmented evolutionary intelligence for the design of water distribution networks

• Matthew B. Johns
• Herman A. Mahmoud
• Edward C. Keedwell
• Dragan A. Savic

Evolutionary bin packing for memory-efficient dataflow inference acceleration on FPGA

• Mairin Kroes
• Lucian Petrica
• Sorin Cotofana
• Michaela Blott

Impact of NSGA-II objectives on EEG feature selection related to motor imagery

• Miguel Leon
• Christoffer Parkkila
• Jonatan Tidare
• Ning Xiong
• Elaine Astrand

Evolving energy demand estimation models over macroeconomic indicators

• Nuno Lourenço
• J. Manuel Colmenar
• J. Ignacio Hidalgo
• Sancho Salcedo-Sanz

Optimisation of large wave farms using a multi-strategy evolutionary framework

• Mehdi Neshat
• Bradley Alexander
• Nataliia Y. Sergiienko
• Markus Wagner

Hybrid genetic algorithm for ridesharing with timing constraints: efficiency analysis with real-world data

• Nirav Patel
• N. S. Narayanaswamy
• Alok Joshi

Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control

• Aaron Scott Pope
• Daniel R. Tauritz

Variable reduction for surrogate-based optimization

• Frederik Rehbach
• Lorenzo Gentile
• Thomas Bartz-Beielstein

A genetic programming approach to feature construction for ensemble learning in skin cancer detection

• Qurrat Ul Ain
• Harith Al-Sahaf
• Bing Xue
• Mengjie Zhang

COUGAR: clustering of unknown malware using genetic algorithm routines

• Zachary Wilkins
• Nur Zincir-Heywood

SESSION: Search-based software engineering

Causes and effects of fitness landscapes in unit test generation

• Nasser Albunian
• Gordon Fraser
• Dirk Sudholt

Scalability analysis of grammatical evolution based test data generation

• Muhammad Sheraz Anjum
• Conor Ryan

Seeding strategies for multi-objective test case selection: an application on simulation-based testing

• Aitor Arrieta
• Joseba Andoni Agirre
• Goiuria Sagardui

Towards rigorous validation of energy optimisation experiments

• Mahmoud A. Bokhari
• Brad Alexander
• Markus Wagner

Genetic algorithms for redundancy in interaction testing

• Ryan E. Dougherty

Enhancing search-based product line design with crossover operators

• Diego Fernandes da Silva
• Luiz Fernando Okada
• Thelma Elita Colanzi
• Wesley K. G. Assunção

SESSION: Theory

The (1 + (λ,λ)) GA is even faster on multimodal problems

• Denis Antipov
• Benjamin Doerr
• Vitalii Karavaev

Fast mutation in crossover-based algorithms

• Denis Antipov
• Maxim Buzdalov
• Benjamin Doerr

More effective randomized search heuristics for graph coloring through dynamic optimization

• Jakob Bossek
• Frank Neumann
• Pan Peng
• Dirk Sudholt

The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics

• Jakob Bossek
• Katrin Casel
• Pascal Kerschke
• Frank Neumann

Fixed-target runtime analysis

• Maxim Buzdalov
• Benjamin Doerr
• Carola Doerr
• Dmitry Vinokurov

Does comma selection help to cope with local optima?

• Benjamin Doerr

Self-adjusting evolutionary algorithms for multimodal optimization

• Amirhossein Rajabi
• Carsten Witt

A tight lower bound on the expected runtime of standard steady state genetic algorithms

• Pietro S. Oliveto
• Dirk Sudholt
• Carsten Witt