GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Full Citation in the ACM Digital Library

POSTER SESSION: Posters: Ant colony optimization and swarm intelligence

Novelty particle swarm optimisation for truss optimisation problems

• Hirad Assimi
• Frank Neumann
• Markus Wagner
• Xiaodong Li

Partial-ACO as a GA mutation operator applied to TSP instances

• Darren M. Chitty

On detecting the novelties in metaphor-based algorithms

• Iztok Fister
• Iztok Fister
• Andres Iglesias
• Akemi Galvez

Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system

• H. David Mathias
• Annie S. Wu
• Daniel Dang

Ant colony optimization for energy-efficient train operations

• Federico Naldini
• Paola Pellegrini
• Joaquin Rodriguez

Learning assignment order in an ant colony optimiser for the university course timetabling problem

• James Sakal
• Jonathan E. Fieldsend
• Edward Keedwell

Ant swarm algorithm for self-organizing complex system

• Juntao Zhang
• Peng Cheng

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

Predicting soft robot's locomotion fitness

• Renata B. Biazzi
• André Fujita
• Daniel Y. Takahashi

On the use of feature-maps for improved quality-diversity meta-evolution

• David M. Bossens
• Danesh Tarapore

Promoting reproductive isolation through diversity in on-line collective robotics

• Amine Boumaza

Younger is better: a simple and efficient selection strategy for MAP-Elites

• Alexandre Coninx
• Stephane Doncieux

Ad hoc teaming through evolution

• Joshua Cook
• Kagan Tumer

The impact of different tasks on evolved robot morphologies

• Matteo De Carlo
• Eliseo Ferrante
• Jacintha Ellers
• Gerben Meynen
• A. E. Eiben

Comparing lifetime learning methods for morphologically evolving robots

• Fuda van Diggelen
• E. Ferrante
• A. E. Eiben

Heterogeneous agent coordination via adaptive quality diversity and specialization

• Gaurav Dixit
• Charles Koll
• Kagan Tumer

Reinforcement learning with rare significant events: direct policy search vs. gradient policy search

• Paul Ecoffet
• Nicolas Fontbonne
• Jean-Baptiste André
• Nicolas Bredeche

Automatic exploration of the property space of reservoirs

• Mika Ito
• Leo Cazenille
• Nathanael Aubert-Kato

Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions

• Hetvi Jethwani
• Sumeet Agarwal

Designing fitness functions for odour source localisation

• João Macedo
• Lino Marques
• Ernesto Costa

How to evolve a neuron

• W. Garrett Michener

Environmental impact on evolving language diversity

• Gregory Furman
• Geoff Nitschke

Impact of energy efficiency on the morphology and behaviour of evolved robots

• Margarita Rebolledo
• Daan Zeeuwe
• Thomas Bartz-Beielstein
• A. E. Eiben

Illuminating the space of beatable lode runner levels produced by various generative adversarial networks

• Kirby Steckel
• Jacob Schrum

Growing simulated robots with environmental feedback: an eco-evo-devo approach

• Kathryn Walker
• Helmut Hauser
• Sebastian Risi

Pathogen dose based natural killer cell algorithm for classification

• Dongmei Wang
• Yiwen Liang
• Chengyu Tan
• Hongbin Dong
• Xinmin Yang

POSTER SESSION: Posters: Evolutionary combinatorial optimization and metaheuristics

Optimizing a GPU-accelerated genetic algorithm for the vehicle routing problem

• Marwan Abdelatti
• Abdeltawab Hendawi
• Manbir Sodhi

Linear representation of categorical values

• Arnaud Berny

Effective recombination operators for the family of vehicle routing problems

• Piotr Cybula
• Marek Rogalski
• Piotr Sielski
• Andrzej Jaszkiewicz
• Przemysław Pełka

Introducing a hash function for the travelling salesman problem for differentiating solutions

• Mehdi El Krari
• Rym Nesrine Guibadj
• John Woodward
• Denis Robilliard

Automated configuration of parallel machine dispatching rules by machine learning

• Georg Faustmann
• Christoph Mrkvicka
• Nysret Musliu
• Felix Winter

Selecting between evolutionary and classical algorithms for the CVRP using machine learning: optimization of vehicle routing problems

• Justin Fellers
• Jose Quevedo
• Marwan Abdelatti
• Meghan Steinhaus
• Manbir Sodhi

The optimal filtering set problem with application to surrogate evaluation in genetic programming

• Francisco J. Gil-Gala
• María R. Sierra
• Carlos Mencía
• Ramiro Varela

Optimisation algorithms for parallel machine scheduling problems with setup times

• Fabian Kittel
• Jannik Enenkel
• Michael Guckert
• Jana Holznigenkemper
• Neil Urquhart

Stochastic local search for efficient hybrid feature selection

• Ole Jakob Mengshoel
• Tong Yu
• Jon Riege
• Eirik Flogard

A grouping genetic algorithm for the unrelated parallel-machine scheduling problem

• Octavio Ramos-Figueroa
• Marcela Quiroz-Castellanos

Error function learning with interpretable compositional networks for constraint-based local search

• Florian Richoux
• Jean-François Baffier

A hybrid local search framework for the dynamic capacitated arc routing problem

• Hao Tong
• Leandro L. Minku
• Stefan Menzel
• Bernhard Sendhoff
• Xin Yao

Continuous encoding for community detection in complex networks

• Wei Zheng
• Yiqing Zhang
• Jianyong Sun

POSTER SESSION: Posters: Evolutionary machine learning

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs

• Pawel Benecki
• Szymon Piechaczek
• Daniel Kostrzewa
• Jakub Nalepa

Improved evolution of generative adversarial networks

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

Sparsity-based evolutionary multi-objective feature selection for multi-label classification

• Kaan Demir
• Bach Hoai Nguyen
• Bing Xue
• Mengjie Zhang

Scatter search for high-dimensional feature selection using feature grouping

• Miguel García-Torres
• Francisco Gómez-Vela
• Federico Divina
• Diego P. Pinto-Roa
• José Luis Vázquez Noguera
• Julio C. Mello Román

Meta-learning for symbolic hyperparameter defaults

• Pieter Gijsbers
• Florian Pfisterer
• Jan N. van Rijn
• Bernd Bischl
• Joaquin Vanschoren

Evo-RL: evolutionary-driven reinforcement learning

• Ahmed Hallawa
• Thorsten Born
• Anke Schmeink
• Guido Dartmann
• Arne Peine
• Lukas Martin
• Giovanni Iacca
• A. E. Eiben
• Gerd Ascheid

Understanding evolutionary induction of decision trees: a multi-tree repository approach

• Krzysztof Jurczuk
• Marcin Czajkowski
• Marek Kretowski

Growth and harvest induce essential dynamics in neural networks

• Ilona Kulikovskikh
• Tarzan Legović

Permutation-based optimization using a generative adversarial network

• Sami Lemtenneche
• Abdelhakim Cheriet
• Bensayah Abdellah

EvolMusic: towards musical adversarial examples for black-box attacks on speech-to-text

• Mariele Motta
• Tanja Hagemann
• Sebastian Fischer
• Felix Assion

Explainability and performance of anticipatory learning classifier systems in non-deterministic environments

• Romain Orhand
• Anne Jeannin-Girardon
• Pierre Parrend
• Pierre Collet

Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation

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

An evolutionary approach to interpretable learning

• Jake Robertson
• Ting Hu

Misclassification detection based on conditional VAE for rule evolution in learning classifier system

• Hiroki Shiraishi
• Masakazu Tadokoro
• Yohei Hayamizu
• Yukiko Fukumoto
• Hiroyuki Sato
• Keiki Takadama

Adopting lexicase selection for michigan-style learning classifier systems with continuous-valued inputs

• Alexander R. M. Wagner
• Anthony Stein

Evolving local interpretable model-agnostic explanations for deep neural networks in image classification

• Bin Wang
• Wenbin Pei
• Bing Xue
• Mengjie Zhang

Adaptive multi-fitness learning for robust coordination

• Connor Yates
• Ayhan Alp Aydeniz
• Kagan Tumer

POSTER SESSION: Posters: Evolutionary multiobjective optimization

MOMPA: a high performance multi-objective optimizer based on marine predator algorithm

• Long Chen
• Xuebing Cai
• Kezhong Jin
• Zhenzhou Tang

The effect of offspring population size on NSGA-II: a preliminary study

• Max Hort
• Federica Sarro

Dynamic adaptation of decomposition vector set size for MOEA/D

• Yuta Kobayashi
• Claus Aranha
• Tetsuya Sakurai

Multi-criteria differential evolution: treating multitask optimization as multi-criteria optimization

• Jian-Yu Li
• Ke-Jing Du
• Zhi-Hui Zhan
• Hua Wang
• Jun Zhang

An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm

• Claudio L. V. Lopes
• Flávio V. C. Martins
• Elizabeth F. Wanner
• Kalyanmoy Deb

Generating multi-objective bilevel optimization problems with multiple non-cooperative followers

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

Labeling-oriented non-dominated sorting is Θ(MN3)

• Sumit Mishra
• Ved Prakash
• Maxim Buzdalov

A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (MOGA-FPS)

• Abdul-Rauf Nuhu
• Xuyang Yan
• Daniel Opoku
• Abdollah Homaifar

Landmark-based multi-objective route planning for large-scale road net

• Jiaze Sun
• Nan Han
• Jianbin Huang
• Jiahui Deng

One step preference elicitation in multi-objective Bayesian optimization

• Juan Ungredda
• Juergen Branke
• Mariapia Marchi
• Teresa Montrone

Two comprehensive performance metrics for overcoming the deficiencies of IGD and HV

• Liping Wang
• Lin Zhang
• Yu Ren
• Qicang Qiu
• Feiyue Qiu

POSTER SESSION: Posters: Evolutionary numerical optimization

Estimation of von mises-fisher distribution algorithm, with application to support vector classification

• Adetunji David Ajimakin
• V. Susheela Devi

Reinforcement learning for dynamic optimization problems

• Abdennour Boulesnane
• Souham Meshoul

An empirical study of cooperative frequency in distributed cooperative co-evolution

• Ling-Yu Li
• Wen-Jie Ou
• Xiao-Min Hu
• Wei-Neng Chen
• An Song

Disease outbreaks: tuning predictive machine learning

• Tassallah Abdullahi
• Geoff Nitschke

Setup of fuzzy hybrid particle swarms: a heuristic approach

• Nicolas Roy
• Charlotte Beauthier
• Timotéo Carletti
• Alexandre Mayer

CMA-ES with coordinate selection for high-dimensional and ill-conditioned functions

• Hiroki Shimizu
• Masashi Toyoda

Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization

• Bing Wang
• Hemant Kumar Singh
• Tapabrata Ray

Automated feature detection of black-box continuous search-landscapes using neural image recognition

• Boris Yazmir
• Ofer M. Shir

A complementarity analysis of the COCO benchmark problems and artificially generated problems

• Urban Škvorc
• Tome Eftimov
• Peter Korošec

POSTER SESSION: Posters: Genetic algorithms

Three population co-evolution for generating mechanics of endless runner games

• Vojtěch Černý
• Jakub Gemrot

Quantum genetic selection: using a quantum computer to select individuals in genetic algorithms

• Giovanni Acampora
• Roberto Schiattarella
• Autilia Vitiello

Fitness value curves prediction in the evolutionary process of genetic algorithms

• Renuá Meireles Almeida
• Denys Menfredy Ferreira Ribeiro
• Rodrigo Moraes Rodrigues
• Otávio Noura Teixeira

A genetic algorithm approach to compute mixed strategy solutions for general Stackelberg games

• Srivathsa Gottipati
• Praveen Paruchuri

ALF: a fitness-based artificial life form for evolving large-scale neural networks

• Rune Krauss
• Marcel Merten
• Mirco Bockholt
• Rolf Drechsler

Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting

• Krzysztof L. Sadowski
• Dirk Thierens
• Peter A. N. Bosman

A benchmark generator of tree decomposition Mk landscapes

• Dirk Thierens
• Tobias van Driessel

It's the journey not the destination: building genetic algorithms practitioners can trust

• Jakub Vincalek
• Sean Walton
• Ben Evans

POSTER SESSION: Posters: General evolutionary computation and hybrids

A crossover that matches diverse parents together in evolutionary algorithms

• Maciej Świechowski

A multimethod approach to multimodal function optimization

• Fredrik Foss
• Ole Jakob Mengshoel

Elo-based similar-strength opponent sampling for multiobjective competitive coevolution

• Sean N. Harris
• Daniel R. Tauritz

OPTION: optimization algorithm benchmarking ontology

• Ana Kostovska
• Diederick Vermetten
• Carola Doerr
• Sašo Džeroski
• Panče Panov
• Tome Eftimov

Learning multiple defaults for machine learning algorithms

• Florian Pfisterer
• Jan N. van Rijn
• Philipp Probst
• Andreas C. Müller
• Bernd Bischl

The factory must grow: automation in Factorio

• Kenneth N. Reid
• Iliya Miralavy
• Stephen Kelly
• Wolfgang Banzhaf
• Cedric Gondro

Leveraging benchmarking data for informed one-shot dynamic algorithm selection

• Furong Ye
• Carola Doerr
• Thomas Bäck

Empirical study of correlations in the fitness landscapes of combinatorial optimization problems

• Longfei Zhang
• Ke Li
• Shi Gu

POSTER SESSION: Posters: Genetic programming

Genetic programming with a new representation and a new mutation operator for image classification

• Qinglan Fan
• Ying Bi
• Bing Xue
• Mengjie Zhang

Empirical analysis of variance for genetic programming based symbolic regression

• Lukas Kammerer
• Gabriel Kronberger
• Stephan Winkler

Fitness first and fatherless crossover

• William B. Langdon

"Re-ID BUFF": an enhanced similarity measurement based on genetic programming for person re-identification

• Yiming Li
• Lin Shang

Linear-dependent multi-interpretation neuro-encoded expression programming

• Jun Ma
• Fenghui Gao
• Shuangrong Liu
• Lin Wang

Principled quality diversity for ensemble classifiers using MAP-Elites

• Kyle Nickerson
• Ting Hu

Improving estimation of distribution genetic programming with novelty initialization

• Christian Olmscheid
• David Wittenberg
• Dominik Sobania
• Franz Rothlauf

GLEAM: genetic learning by extraction and absorption of modules

• Anil Kumar Saini
• Lee Spector

Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing

• Aliyu Sani Sambo
• R. Muhammad Atif Azad
• Yevgeniya Kovalchuk
• Vivek Padmanaabhan
• Hanifa Shah

Neurally guided transfer learning for genetic programming

• Alexander Wild
• Barry Porter

Adversarial bandit gene expression programming for symbolic regression

• Congwen Xu
• Qiang Lu
• Jake Luo
• Zhiguang Wang

POSTER SESSION: Posters: Neuroevolution

Evolving reservoir weights in the frequency domain

• Sebastián Basterrech
• Gerardo Rubino

Evolving transformer architecture for neural machine translation

• Ben Feng
• Dayiheng Liu
• Yanan Sun

Growth and evolution of deep neural networks from gene regulatory networks

• Colin Flynn
• Mohammed Bennamoun
• Farid Boussaid

A NEAT-based multiclass classification method with class binarization

• Zhenyu Gao
• Gongjin Lan

On the exploitation of neuroevolutionary information

• Unai Garciarena
• Nuno Lourenço
• Penousal Machado
• Roberto Santana
• Alexander Mendiburu

Modeling the evolution of retina neural network

• Ziyi Gong
• Paul Munro

A coevolutionary approach to deep multi-agent reinforcement learning

• Daan Klijn
• A. E. Eiben

Evolving neuronal plasticity rules using cartesian genetic programming

• Henrik D. Mettler
• Maximilian Schmidt
• Walter Senn
• Mihai A. Petrovici
• Jakob Jordan

A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks

• Bin Wang
• Bing Xue
• Mengjie Zhang

Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment

• Xinyun Zou
• Eric Scott
• Alexander Johnson
• Kexin Chen
• Douglas Nitz
• Kenneth De Jong
• Jeffrey Krichmar

POSTER SESSION: Posters: Real world applications

Selecting miners within blockchain-based systems using evolutionary algorithms for energy optimisation

• Akram Alofi
• Mahmoud A. Bokhari
• Robert Hendley
• Rami Bahsoon

Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis

• T. Bartz-Beielstein
• M. Dröscher
• A. Gür
• A. Hinterleitner
• O. Mersmann
• D. Peeva
• L. Reese
• N. Rehbach
• F. Rehbach
• A. Sen
• A. Subbotin
• M. Zaefferer

Risk aware optimization of water sensor placement

• Antonio Candelieri
• Andrea Ponti
• Francesco Archetti

Distributed evolutionary design of HIFU treatment plans

• Jakub Chlebik
• Jiri Jaros

An optimal oil skimmer assignment based on a genetic algorithm with minimal mobilized locations

• Dong-Hee Cho
• Yong-Hyuk Kim

Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm

• Mark A. Coletti
• Shang Gao
• Spencer Paulissen
• Nicholas Quentin Haas
• Robert Patton

Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison

• Mark Connor
• Michael O'Neill

Dealing with a problematic roundabout by optimizing a traffic light system through evolutionary computation

• Francisco Cruz-Zelante
• Eduardo Segredo
• Gara Miranda

Weighted ensemble of gross error detection methods based on particle swarm optimization

• Daniel Dobos
• Tien Thanh Nguyen
• John McCall
• Allan Wilson
• Phil Stockton
• Helen Corbett

Wastewater systems planned maintenance scheduling using multi-objective optimisation

• Sabrina Draude
• Edward Keedwell
• Zoran Kapelan
• Rebecca Hiscock

Evolving potential field parameters for deploying UAV-based two-hop wireless mesh networks

• Rahul Dubey
• Sushil J. Louis

ARCH-Elites: quality-diversity for urban design

• Theodoros Galanos
• Antonios Liapis
• Georgios N. Yannakakis
• Reinhard Koenig

Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms

• Kate Han
• Lee A. Christie
• Alexandru-Ciprian Zăvoianu
• John McCall

Structural damage identification under non-linear EOV effects using genetic programming

• Mohsen Mousavi
• Amir H. Gandomi
• Magd Abdel Wahab

Towards higher order fairness functionals for smooth path planning

• Victor Parque

Novelty search for evolving interesting character mechanics for a two-player video game

• Eirik Høgdahl Skjærseth
• Harald Vinje
• Ole Jakob Mengshoel

Optimising pheromone communication in a UAV swarm

• Daniel H. Stolfi
• Matthias R. Brust
• Grégoire Danoy
• Pascal Bouvry

A new pathway to approximate energy expenditure and recovery of an athlete

• Fabian Clemens Weigend
• Jason Siegler
• Oliver Obst

Unit-aware multi-objective genetic programming for the prediction of the stokes flow around a sphere

• Heiner Zille
• Sanaz Mostaghim
• Fabien Evrard
• Berend van Wachem

POSTER SESSION: Posters: Search-based software engineering

Neurogenetic programming framework for explainable reinforcement learning

• Vadim Liventsev
• Aki Härmä
• Milan Petković

Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution

• Dirk Schweim
• Erik Hemberg
• Dominik Sobania
• Una-May O'Reilly
• Franz Rothlauf

POSTER SESSION: Posters: Theory

On the effectiveness of restarting local search

• Aldeida Aleti
• Mark Wallace
• Markus Wagner

Affine OneMax

• Arnaud Berny

Time complexity analysis of the deductive sort in the best case

• Sumit Mishra
• Ved Prakash