TOC GECCO 2021 Posters No Abstract

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

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