GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion Full Citation in the ACM Digital Library POSTER SESSION: Ant colony optimization and swarm intelligence Evolutionary curriculum learning approach for transferable cellular automata rule optimization Delia Dumitru Anca Andreica Laura Dioşan Zoltán Bálint The effect of differential quality and differential zealotry in the best-of-n problem Judhi Prasetyo Giulia De Masi Elio Tuci Eliseo Ferrante Multi-objective ant colony optimization for task allocation in vehicle-based crowdsourcing Jian Shi Wei-Neng Chen Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control Victor L. F. Souza Adriano L. I. Oliveira Rafael M. O. Cruz Robert Sabourin POSTER SESSION: Complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware) Evolving hypernetworks for game-playing agents Christian Carvelli Djordje Grbic Sebastian Risi Comparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots Matteo De Carlo Eliseo Ferrante A. E. Eiben A preliminary study towards an improved shepherding model Heba El-Fiqi Benjamin Campbell Saber Elsayed Anthony Perry Hemant Kumar Singh Robert Hunjet Hussein Abbass Safer reinforcement learning through evolved instincts Djordje Grbic Sebastian Risi Exploring the BipedalWalker benchmark with MAP-Elites and curiosity-driven A3C Vikas Gupta Nathanael Aubert-Kato Leo Cazenille Diversity-based design assist for large legged robots Gerard Howard Thomas Lowe Wade Geles Diversity in swarm robotics with task-independent behavior characterization Tanja Katharina Kaiser Heiko Hamann Evolving an artificial creole Gregory Furman Geoff Nitschke The expense of neuro-morpho functional machines Scott Hallauer Geoff Nitschke Adaptive reinforcement learning through evolving self-modifying neural networks Samuel Schmidgall Divergent search for image classification behaviors Jeremy Tan Bernhard Kainz Novelty producing synaptic plasticity Anil Yaman Giovanni Iacca Decebal Constantin Mocanu George Fletcher Mykola Pechenizkiy An artificial sequential immune responses model for anomaly detection Wen Zhou Yiwen Liang POSTER SESSION: Digital entertainment technologies and arts Adea - Evolving glyphs for aiding creativity in typeface design Daniel Lopes João Correia Penousal Machado Evolving neural network agents to play atari games with compact state representations Adam Tupper Kourosh Neshatian POSTER SESSION: Evolutionary combinatorial optimization and metaheuristics Evolving search trajectories Vincent Hénaux Adrien Goëffon Frédéric Saubion An efficient evolutionary solution to the joint order batching - order picking planning problem Riccardo Lucato Jonas Falkner Lars Schmidt-Thieme QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method Soheila Sadeghiram Hui Ma Gang Chen A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming Fangfang Zhang Yi Mei Su Nguyen Mengjie Zhang POSTER SESSION: Evolutionary machine learning Evolving network structures for text classification using genetic algorithms Hayden Andersen Xiaoying Gao Bing Xue Mengjie Zhang An adaptive neuroevolution-based hyperheuristic Etor Arza Josu Ceberio Aritz Pérez Ekhiñe Irurozki Multi-objective data stream clustering Mohammed Oualid Attaoui Hanene Azzag Mustapha Lebbah Nabil Keskes A first step toward incremental evolution of convolutional neural networks Dustin K. Barnes Sara R. Davis Emily M. Hand Sushil J. Louis Automatically extracting features for face classification using multi-objective genetic programming Ying Bi Bing Xue Mengjie Zhang Diversity-driven wide learning for training distributed classification models Rui P. Cardoso Emma Hart Jeremy V. Pitt Turing learning with hybrid discriminators: combining the best of active and passive learning Yue Gu Wei Li Roderich Groß Evolving deep autoencoders Jeff Hajewski Suely Oliveira Xiaoyu Xing Enabling XCSF to cope with dynamic environments via an adaptive error threshold Tim Hansmeier Paul Kaufmann Marco Platzner Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations Michael Heider David Pätzel Jörg Hähner The data-driven physical-based equations discovery using evolutionary approach Alexander Hvatov Mikhail Maslyaev An evolution-based approach for efficient differentiable architecture search Masayuki Kobayashi Tomoharu Nagao A Multi-objective architecture search for generative adversarial networks Masayuki Kobayashi Tomoharu Nagao Towards evolving robust neural architectures to defend from adversarial attacks Shashank Kotyan Danilo Vasconcellos Vargas Equilibrium in classification: a new game theoretic approach to supervised learning Rodica Ioana Lung Mihai-Alexandru Suciu Improving an evolutionary wrapper for attack detection by including feature importance information Javier Maldonado María-Cristina Riff DarwiNN: efficient distributed neuroevolution under communication constraints Gurshaant Singh Malik Lucian Petrica Nachiket Kapre Michaela Blott Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm Thiago Zafalon Miranda Diorge Brognara Sardinha Márcio Porto Basgalupp Yaochu Jin Ricardo Cerri Searching for activation functions using a self-adaptive evolutionary algorithm Andrew Nader Danielle Azar BACS: integrating behavioral sequences to ACS2 Romain Orhand Anne Jeannin-Girardon Pierre Parrend Pierre Collet A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification Wenbin Pei Bing Xue Lin Shang Mengjie Zhang Evolutionary super-resolution Baptiste Roziere Nathanaël Carraz Rakotonirina Vlad Hosu Hanhe Lin Andry Rasoanaivo Olivier Teytaud Camille Couprie Population-based evolutionary distributed SGD Amna Shahab Boris Grot HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm Léo Souquet Nadiya Shvai Arcadi Llanza Amir Nakib Evolutionary neural network structure search for DNN pruning and features separation Zhaoyang Wu Lin Lin Guoliang Gong Rui Xu Mitsuo Gen Yong Zhou POSTER SESSION: Evolutionary multiobjective optimization An EDA with swarm intelligence for the multi-objective flexible job-shop problem Luiz Carlos Felix Carvalho Márcia Aparecida Fernandes A generic and computationally efficient automated innovization method for power-law design rules Kanish Garg Anish Mukherjee Sukrit Mittal Dhish Kumar Saxena Kalyanmoy Deb Framework to select an improved radiographic image using Speed-constrained modified particle swarm optimization Luhana Aracelli González Zarza Alan Mathías Ruiz Díaz Nodari José Luis Vázquez Noguera Diego Pedro Pinto Roa An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme Jinglei Guo Miaomiao Shao Shouyong Jiang Shengxiang Yang A local hypervolume contribution schema to improve spread of the pareto front and computational time Edgar Manoatl López Carlos Ignacio Hernández Castellanos Time complexity analysis of the dominance degree approach for non-dominated sorting Sumit Mishra Maxim Buzdalov Rakesh Senwar Learning-based multi-objective optimization through ANN-assisted online Innovization Sukrit Mittal Dhish Kumar Saxena Kalyanmoy Deb Performance evaluation of the MOEA/D algorithm for the solution of a microgrid planning problem Miguel A. Rodriguez Dario F. Lopez Sergio F. Contreras Camilo A. Cortés Johanna M. A. Myrzik PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front A K M Khaled Ahsan Talukder Kalyanmoy Deb Using gradient-free local search within MOEAs for the treatment of constrained MOPs Lourdes Uribe Adriana Lara Kalyanmoy Deb Oliver Schütze Dynamic Multi-objective Optimisation Problems with Intertemporal Dependencies Bernard van Tonder Mardé Helbig Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search Yali Wang Bas van Stein Thomas Bäck Michael Emmerich A many-objective route planning benchmark problem for navigation Jens Weise Sanaz Mostaghim Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting Sorrachai Yingchareonthawornchai Proteek Chandan Roy Bundit Laekhanukit Eric Torng Kalyanmoy Deb POSTER SESSION: Evolutionary numerical optimization Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study Margarita Antoniou Gregor Papa A view of estimation of distribution algorithms through the lens of expectation-maximization David Brookes Akosua Busia Clara Fannjiang Kevin Murphy Jennifer Listgarten Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation Jhih-Wei Chen Ming-Chun Lu Tian-Li Yu Performance2vec: a step further in explainable stochastic optimization algorithm performance Tome Eftimov Gorjan Popovski Dragi Kocev Peter Korošec Look-ahead natural evolutionary strategies Jin Liang Jia Alfredo Alan Flores Saldivar Lin Li Yun Li Parametrized Benchmarking: an outline of the idea and a feasibility study Karol R. Opara Anas A. Hadi Ali W. Mohamed A quantum simulation algorithm for continuous optimization Anna Ouskova Leonteva Ulviya Abdulkarimova Tobias M. Wintermantel Anne Jeannin-Girardon Pierre Parrend Pierre Collet Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space Kamrul Hasan Rahi Ahsanul Habib Hemant Kumar Singh Tapabrata Ray Bayesian CMA-ES: a new approach Benhamou Eric Saltiel David Verel Sebastien Differential Evolution with Reversible Linear Transformations Jakub M. Tomczak Ewelina Węglarz-Tomczak Agoston E. Eiben Differential evolution with explicit control of diversity for constrained optimization Gabriel Vázquez Carlos Segura POSTER SESSION: Genetic algorithms Impact of additional hardware resources on a parallel genetic algorithm Glen Cancian Wayne Pullan A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems Juan José Escobar Julio Ortega Antonio Francisco Díaz Jesús González Miguel Damas A fast GA for automatically evolving CNN architectures Zhou Hong Wei Fang Jun Sun Xiaojun Wu Efficient machine learning through evolving combined deep neural networks Rune Krauss Marcel Merten Mirco Bockholt Saman Froehlich Rolf Drechsler SHX: search history driven crossover for real-coded genetic algorithm Takumi Nakane Xuequan Lu Chao Zhang Cooperative coevolutionary genetic algorithm using hierarchical clustering of linkage tree Takatoshi Niwa Koya Ihara Shohei Kato A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms Kei Ohnishi Shota Ikeda Tian-Li Yu Illuminating super mario bros: quality-diversity within platformer level generation Oliver Withington POSTER SESSION: General evolutionary computation and hybrids Hybrid bayesian evolutionary optimization for hyperparameter tuning Lukas Atkinson Robin Müller-Bady Martin Kappes Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach Gabriel Duflo Grégoire Danoy El-Ghazali Talbi Pascal Bouvry Finding a better basis on binary representation through DNN-based epistasis estimation Yong-Hoon Kim Yong-Hyuk Kim Parallelized bayesian optimization for problems with expensive evaluation functions Margarita Rebolledo Frederik Rehbach A. E. Eiben Thomas Bartz-Beielstein Evolving genetic programming trees in a rule-based learning framework Siddharth Verma Piyush Borole Ryan Urbanowicz On the Effect of Walsh/Fourier transform in surrogate-assisted genetic algorithms Dong-Pil Yu Yong-Hyuk Kim POSTER SESSION: Genetic programming Benchmarking parent selection for program synthesis by genetic programming Thomas Helmuth Amr Abdelhady Counterexample-driven genetic programming without formal specifications Thomas Helmuth Lee Spector Edward Pantridge Transfer Learning of Genetic Programming Instruction Sets Thomas Helmuth Edward Pantridge Grace Woolson Lee Spector General controllers evolved through grammatical evolution with a divergent search Enrique Naredo Conor Ryan Ivan Guevara Tiziana Margaria Paulo Urbano Leonardo Trujillo Image feature learning with a genetic programming autoencoder Stefano Ruberto Valerio Terragni Jason H. Moore Why and when are loops useful in genetic programming? Anil Kumar Saini Lee Spector Feature engineering for improving robustness of crossover in symbolic regression Aliyu Sani Sambo R. Muhammad Atif Azad Yevgeniya Kovalchuk Vivek Padmanaabhan Indramohan Hanifa Shah Refined typed genetic programming as a user interface for genetic programming Paulo Santos Sara Silva Alcides Fonseca POSTER SESSION: Real world applications A GA for non-uniform sampling harmonic analysis Ulviya Abdulkarimova Igor Santos Peretta Anna Ouskova Leonteva Younes Monjid Rabih Amhaz Marc Haegelin Pierre Collet Christian Rolando Beer organoleptic optimisation: utilising swarm intelligence and evolutionary computation methods Mohammad Majid al-Rifaie Marc Cavazza Multi-objective optimization for worker cross-training: the tri-objective case Andreas Beham Viktoria A. Hauder Johannes Karder Klaus Altendorfer NGAP: a novel hybrid metaheuristic algorithm for round-trip carsharing fleet planning Boonyarit Changaival Grégoire Danoy Dzmitry Kliazovich Frédéric Guinand Matthias R. Brust Jedrzej Musial Kittichai Lavangnananda Pascal Bouvry Cable-stayed bridge optimization solution space exploration João Correia Fernando Ferreira Catarina Maçãs Multi-objective exploration of a granular matter design space Gary W. Delaney Gerard Howard A realistic scooter rebalancing system via metaheuristics Guilherme Fernandes Nuno Oliveira Paulo Cortez Rui Mendes Wind-turbine design optimization using a many-objective evolutionary algorithm Ahsanul Habib Kamrul Hasan Rahi Hemant Kumar Singh Tapabrata Ray Optimising word embeddings with search-based approaches Max Hort Federica Sarro A new objective function for super-resolution deconvolution of microscopy images by means of a genetic algorithm Axel M. Lacapmesure Sandra Martínez Oscar E. Martínez A genetic algorithm for matching oil spill particles Hyeon-Chang Lee Hwi-Yeon Cho Yong-Hyuk Kim An improved brain storm optimization algorithm for fuzzy distributed hybrid flowshop scheduling with setup time Jun-qing Li Hui Yu Xiaolong Chen Wenhan Li Yu Du Yu-yan Han Batch correction of genomic data in chronic fatigue syndrome using CMA-ES Alejandro Lopez Rincon Aletta D. Kraneveld Alberto Tonda Effective image clustering using self-organizing migrating algorithm Seyed Jalaleddin Mousavirad Gerald Schaefer Iakov Korovin Evolved ensemble of detectors for gross error detection Tien Thanh Nguyen John McCall Allan Wilson Laud Ochei Helen Corbett Phil Stockton Real-time genetic optimization of large file transfers Hemanta Sapkota Engin Arslan Sushil Louis Moving target defense through evolutionary algorithms Ernesto Serrano-Collado Mario García-Valdez Juan-Julián Merelo Guervós An application of GA and EDA for passive in-building distributed antenna systems Siddhartha Shakya Kin Poon Khawla AlShanqiti Anis Ouali Andrei Sleptchenko Evolving multi-objective ranking models for GMV optimization in E-Commerce Andrew Stanton Akhila Ananthram Pablo Crespo Preliminary study of applied binary neural networks for neural cryptography Raul Horacio Valencia Tenorio Chiu Wing Sham Danilo Vasconcellos Vargas Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems Koen van der Blom Timo M. Deist Tea Tušar Mariapia Marchi Yusuke Nojima Akira Oyama Vanessa Volz Boris Naujoks Dynamic vessel-to-vessel routing using level-wise evolutionary optimization Yash Vesikar Julian Blank Kalyanmoy Deb Markku Kalio Alaleh Maskooki Stochastic simulation optimization benchmarking method in consideration of finite period of service Takufumi Yoshida Daisuke Yamaguchi Keiichi Handa Multiobjective direction driven local search for constrained supply chain configuration problem Xin Zhang Zhi-Hui Zhan Jun Zhang POSTER SESSION: Search-based software engineering Combining sequential model-based algorithm configuration with default-guided probabilistic sampling Marie Anastacio Holger H. Hoos Handling uncertainty in code smells detection using a possibilistic SBSE approach Sofien Boutaib Slim Bechikh Carlos A. Coello Coello Chih-Cheng Hung Lamjed Ben Said Search-based many-criteria identification of microservices from legacy systems Luiz Carvalho Alessandro Garcia Thelma Elita Colanzi Wesley K. G. Assunção Maria Julia Lima Baldoino Fonseca Mãrcio Ribeiro Carlos Lucena Recommending peer reviewers in modern code review: a multi-objective search-based approach Motaz Chouchen Ali Ouni Mohamed Wiem Mkaouer Raula Gaikovina Kula Katsuro Inoue Crash reproduction using helper objectives Pouria Derakhshanfar Xavier Devroey Andy Zaidman Arie van Deursen Annibale Panichella Exploiting fault localisation for efficient program repair Vesna Nowack David Bowes Steve Counsell Tracy Hall Saemundur Haraldsson Emily Winter John Woodward On the prediction of continuous integration build failures using search-based software engineering Islem Saidani Ali Ouni Moataz Chouchen Mohamed Wiem Mkaouer A new approach to distribute MOEA pareto front computation Federica Sarro Alessio Petrozziello Dan-Qi He Shin Yoo Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment Tao Shi Hui Ma Gang Chen POSTER SESSION: Theory Critical evaluation of sine cosine algorithm and a few recommendations Qamar Askari Irfan Younas Mehreen Saeed Population control meets doob's martingale theorems: the noise-free multimodal case Marie-Liesse Cauwet Olivier Teytaud Radial model of differential evolution dynamics Karol R. Opara Redundant binary representations with rigorous trade-off between connectivity and locality Vida Vukašinović David Kuboň Riste Škrekovski Petr Gregor