| Feature Engineering for Improving Robustness of Crossover in Symbolic Regression | Aliyu Sani Sambo, R. Muhammad Atif Azad, Yevgeniya Kovalchuk, Vivek Padmanaabhan Indramohan, and Hanifa Shah (Birmingham City University) |
| A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization | David H. Brookes, Akosua Busia, and Clara Wong-Fannjiang (University of California, Berkeley); Kevin Murphy (Google Research); and Jennifer Listgarten (University of California, Berkeley) |
| Ȧdea — Evolving glyphs for aiding creativity in typeface design | Daniel Lopes, Penousal Machado, and Joao Correia (CISUC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal) |
| Effective Image Clustering using Self-Organizing Migrating Algorithm | Seyed Jalaleddin Mousavirad (Ontario Tech University), Gerald Schaefer (Loughborough University), and Iakov Korovin (Southern Federal University) |
| A Generic and Computationally Efficient Automated Innovization Method for Power-Law Design Rules | Kanish Garg, Anish Mukherjee, Sukrit Mittal, and Dhish Kumar Saxena (Indian Institute of Technology Roorkee) and Kalyanmoy Deb (Michigan State University) |
| Searching for Activation Functions Using a Self-Adaptive Evolutionary Algorithm | Andrew Nader and Danielle Azar (Lebanese American University) |
| Finding a Better Basis on Binary Representation through DNN-based Epistasis Estimation | Yong-Hoon Kim and Yong-Hyuk Kim (Kwangwoon Univ.) |
| An Evolution-based Approach for Efficient Differentiable Architecture Search | Masayuki Kobayashi and Tomoharu Nagao (Yokohama National University) |
| Counterexample-Driven Genetic Programming without Formal Specifications | Thomas Helmuth (Hamilton College); Lee Spector (Amherst College, Hampshire College); and Edward Pantridge (Swoop) |
| Improving NSGA-III for Flexible Job Shop Scheduling using Automatic Configuration, Smart Initialization and Local Search | Yali Wang, Bas van Stein, Michael Emmerich, and Thomas Bäck (Leiden University) |
| Cable-Stayed Bridge Optimization Solution Space Exploration | Joao Correia (Center for Informatics and Systems of the University of Coimbra) and Fernando Ferreira (Matereo) |
| Novelty Producing Synaptic Plasticity | Anil Yaman (Technical University of Eindhoven); Giovanni Iacca (University of Trento); and Decebal Constantin Mocanu, George Fletcher, and Mykola Pechenizkiy (Technical University of Eindhoven) |
| Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space | Kamrul Rahi, Ahsanul Habib, Hemant K. Singh, and Tapabrata Ray (The University of New South Wales) |
| BACS: Integrating Behavioral Sequences to ACS2 | Romain Orhand and Anne Jeannin-Girardon (Icube Laboratory, University of Strasbourg); Pierre Parrend (Icube Laboratory, ECAM Strasbourg-Europe); and Pierre Collet (Icube Laboratory, University of Strasbourg) |
| Batch Correction of Genomic Data in Chronic Fatigue Syndrome Using CMA-ES | Alejandro Lopez Rincon and Aletta D. Kraneveld (Utrecht University) and Alberto Tonda (INRAE) |
| Cooperative Coevolutionary Genetic Algorithm Using Hierarchical Clustering of Linkage Tree | Takatoshi Niwa (Nagoya Institute of Technology) and Koya Ihara and Shohei Kato (Nagoya Institute of Technology; Frontier Research Institutes for Information Science, Nagoya Institute of Technology) |
| HyperFDA: A Bi-level optimization approach to Neural Architecture Search and Hyperparameters Optimization with Fractal Decomposition-based Algorithm | Leo Souquet (Data ScienceTech Institute, DSTI Labs); Nadiya Shvai and Arcadi Llanza (Cyclope.ai); and Amir Nakib (Université Paris Est, Laboratoire LISSI; Cyclope.ai) |
| A New Approach to Distribute MOEA Pareto Front Computation | Federica Sarro, Alessio Petrozziello, and Dan-Qi He (University College London) and Shin Yoo (KAIST) |
| Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm | Thiago Zafalon Miranda and Diorge Brognara Sardinha (Universidade Federal de Sao Carlos), Márcio Basgalupp (Universidade Federal de Sao Paulo), Yaochu Jin (University of Surrey), and Ricardo Cerri (Universidade Federal de Sao Carlos) |
| Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks | Samuel Robert Schmidgall (George Mason University) |
| Real-time Genetic Optimization of Large File Transfers | Hemanta Sapkota, Engin Arslan, and Sushil Louis (University of Nevada, Reno) |
| Towards a Pittsburgh-style LCS for Learning Manufacturing Machinery Parametrizations | Michael Heider, David Pätzel, and Jörg Hähner (University of Augsburg) |
| A Many-Objective Route Planning Benchmark Problem for Navigation | Jens Weise and Sanaz Mostaghim (Otto-von-Guericke Universität Magdeburg) |
| Multiobjective Ant Colony Optimization for Task Allocation in Vehicle-Based Crowdsourcing | Jian Shi and Wei-Neng Chen (South China University of Technology) |
| On the Prediction of Continuous Integration Build Failures Using Evolutionary Search | Islem Saidani, Ali Ouni, and Moatez Chouchen (École de Technologie Supérieure) and Mohamed Wiem Mkaouer (Rochester Institute of Technology) |
| Preliminary study of applied Binary Neural Networks for Neural Cryptography | Raul Horacio Valencia Tenorio and Chiu Wing Sham (University of Auckland) and Danilo Vasconcellos Vargas (Kyushu University) |
| Evolving Network Structures for Text Classification using Genetic Algorithm | Hayden Andersen, Xiaoying Gao, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |
| A Multi-objective Architecture Search for Generative Adversarial Networks | Masayuki Kobayashi and Tomoharu Nagao (Yokohama National University) |
| Benchmarking Parent Selection for Program Synthesis by Genetic Programming | Thomas Helmuth and Amr Abdelhady (Hamilton College) |
| An EDA with Swarm Intelligence for the multi-objective Flexible Job-Shop Problem | Luiz Carlos Felix Carvalho and Márcia Aparecida Fernandes (Federal University of Uberlandia) |
| Dynamic Vessel-to-Vessel Routing Using Level-wise Evolutionary Optimization | Yash Vesikar, Julian Blank, and Kalyanmoy Deb (Michigan State University); Markku Kallio (Aalto University School of Business); and Alaleh Maskooki (University of Turku) |
| Performance2vec: A step further in explainable stochastic optimization algorithms' performance | Tome Eftimov, Gorjan Popovski, Dragi Kocev, and Peter Korosec (Jozef Stefan Institute) |
| Evolving Neural Network Agents to Play Atari Games with Compact State Representations | Adam Tupper and Kourosh Neshatian (University of Canterbury) |
| A Genetic Algorithm for Matching Oil Spill Particles | Hyeon-Chang Lee, Hwi-Yeon Cho, and Yong-Hyuk Kim (Kwangwoon Univ.) |
| A GA for Non-Uniform Sampling Harmonic Analysis | Ulviya Abdulkarimova, Igor Santos Peretta, Anna Ouskova Leonteva, Younes Monjid, Rabih Amhaz, and Pierre Collet (University of Strasbourg) and Christian Rolando (Université de Lille) |
| PaletteStarViz: A Visualization Method for Multi-criteria Decision Making from High-dimensional Pareto-optimal Front | Khaled Talukder and Kalyanmoy Deb (Michigan State University) |
| Optimising Word Embeddings with Search-Based Approaches | Max Hort and Federica Sarro (University College London) |
| Dynamic Multi-objective Optimisation Problems with Intertemporal Dependencies | Bernard Van Tonder (University of Pretoria) and Marde Helbig (Griffith University) |
| Refined Typed Genetic Programming as an user interface for Genetic Programming | Paulo Santos, Sara Silva and Alcides Fonseca (Faculdade de Ciências da Universidade de Lisboa) |
| Wind-turbine design optimization using a many-objective evolutionary algorithm | Ahsanul Habib, Kamrul Hasan Rahi, Hemant Kumar Singh, and Tapabrata Ray (The University of New South Wales) |
| 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, and Miguel Damas (University of Granada) |
| SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm | Takumi Nakane (University of Fukui), Xuequan Lu (Deakin University), and Chao Zhang (University of Fukui) |
| Comparing Indirect Encodings by Evolutionary Attractor Analysis in the Trait Space of Modular Robots | Matteo De Carlo (Vrije Universiteit Amsterdam); Eliseo Ferrante (Vrije Universiteit Amsterdam, Technology Innovation Institute); and A. E. Eiben (Vrije Universiteit Amsterdam) |
| An application of GA and EDA for Passive In-Building Distributed Antenna Systems | Siddhartha Shakya and Kin Poon (EBTIC, Khalifa University); Khawla AlShanqiti (Department of Engineering Systems & Management, Khalifa University); Anis Ouali (EBTIC, Khalifa University); and Andrei Sleptchenko (Department of Engineering Systems & Management, Khalifa University) |
| Redundant Binary Representations with Rigorous Tradeoff Between Connectivity and Locality | Vida Vukasinovic (JSI); David Kubon (Charles University); Riste Skrekovski (University of Ljubljana, Faculty of Information Studies); and Petr Gregor (Charles University) |
| Recommending Peer Reviewers in Modern Code Review :A Multi-Objective Search-based Approach | Moataz Chouchen (Ecole de Technologie Superieure), Ali Ouni (École de technologie supérieure), Mohamed Wiem Mkaouer (Rochester Institute of Technology), Raula Gaikovina Kula (Nara Institute of Science and Technology), and Katsuro Inoue (Osaka University) |
| Multi-Objective Optimization for Worker Cross-Training - The Tri-Objective Case | Andreas Beham (University of Applied Sciences Upper Austria); Viktoria A. Hauder and Johannes Karder (University of Applied Sciences Upper Austria; Johannes Kepler University, Linz); and Klaus Altendorfer (University of Applied Sciences Upper Austria) |
| Divide and Conquer: Seeding Strategies for Multi-Objective Multi-Cloud Composite Applications Deployment | Tao Shi, Hui Ma, and Aaron Chen (Victoria University of Wellington) |
| Muti-objective Data Stream Clustering | Mohammed Oualid Attaoui (University Sorbonne Paris Nord, Higher school of computer science SBA); Hanene Azzag and Mustapha Lebbah (University Sorbonne Paris Nord); and Nabil Keskes (Higher school of computer science SBA) |
| An improved brain storm optimization algorithm for fuzzy distributed hybrid flowshop scheduling with setup time | Junqing Li, Hui Yu, Xiaolong Chen, Wenhan Li, Yu Du, and Yuyan Han (School of Information Science and Engineering, Shandong Normal University) |
| Towards Evolving Robust Neural Architectures to Defend from Adversarial Attacks | Shashank Kotyan and Danilo Vasconcellos Vargas (Kyushu University) |
| Evolutionary Curriculum Learning Approach for Transferable Cellular Automata Rule Optimization | Delia-Elena Dumitru, Anca Andreica, Laura Diosan, and Zoltan Balint (Babes-Bolyai University, IMOGEN Research Institute) |
| Evolving Deep Autoencoders | Jeff Hajewski (University of Iowa, Salesforce); Suely Oliveira (University of Iowa); and Xiaoyu Xing (University of Iowa, Amazon.com Inc.) |
| Moving target defense through evolutionary algorithms | Ernesto Serrano Collado (University of Granada), Mario Garcia Valdez (Instituto Tecnológico de Tijuana), and JJ Merelo (University of Granada) |
| QoS-Constrained Multi-Objective Distributed Data-intensive Web Service Composition - NSGA-II with Repair Method | Soheila Sadeghiram, Hui Ma, and Gang Chen (Victoria University of Wellington) |
| Radial Model of Differential Evolution Dynamics | Karol R. Opara (Systems Research Institute, Polish Academy of Sciences, Warsaw) |
| A Genetic Programming Method for Classifier Construction and Cost Learning in High-dimensional Unbalanced Classification | Wenbin Pei and Bing Xue (Victoria University of Wellington), Lin Shang (Nanjing University), and Mengjie Zhang (Victoria University of Wellington) |
| A Quantum Simulation Algorithm For Continuous Optimization | Anna Ouskova Leonteva, Ulviya Abdulkarimova, Anne Jeannin-Girardon, and Pierre Parrend (ICUBE); Tobias Martin Wintermantel (University of Strasbourg); and Pierre Collet (ICUBE) |
| Evolutionary Neural Network Structure Search for DNN Pruning and Features Separation | Zhaoyang Wu (Dalian University of Technology); Lin Lin (Dalian University of Technology, Inter. S. of Info. Sci. & Eng. & D-R Co-Research Center of AICT); Guoliang Gong (Dalian University of Technology); Rui Xu (Dalian University of Technology, Inter. S. of Info. Sci. & Eng. & D-R Co-Research Center of AICT); Mitsuo Gen (Tokyo University of Science, Fuzzy Logic Systems Institute Tokyo); and Yong Zhou (Dalian University of Technology) |
| Hybrid Bayesian Evolutionary Optimization for Hyperparameter Tuning | Lukas Atkinson, Robin Müller-Bady, and Martin Kappes (Frankfurt University of Applied Sciences) |
| Time Complexity Analysis of the Dominance Degree Approach for Non-Dominated Sorting | Sumit Mishra (Indian Institute of Information Technology Guwahati), Maxim Buzdalov (ITMO University), and Rakesh Senwar (Indian Institute of Information Technology Guwahati) |
| Exploring the BipedalWalker benchmark with MAP-Elites and Curiosity-driven A3C | Vikas Gupta (Northwestern University) and Nathanael Aubert-Kato and Leo Cazenille (Ochanomizu University) |
| Evolving Multi-Objective Ranking Models For GMV Optimization in E-Commerce | Andrew Stanton, Akhila Ananthram, and Pablo Crespo (Etsy, Inc.) |
| Multiobjective Direction Driven Local Search for Constrained Supply Chain Configuration Problem | Xin Zhang, Zhi-Hui Zhan, and Jun Zhang (South China University of Technology) |
| General Controllers evolved through Grammatical Evolution with a Divergent Search | Enrique Naredo and Conor Ryan (University of Limerick; Lero, the Science Foundation Ireland Research Centre for Software); Ivan Hugo Guevara and Tiziana Margaria (University of Limerick, Confirm Centre); Paulo Urbano (Universidade de Lisboa); and Leonardo Trujillo (Instituto Tecnológico de Tijuana) |
| The data-driven physical-based equations discovery using evolutionary approach | Alexander Hvatov and Mikhail Maslyaev (ITMO University) |
| Diversity in Swarm Robotics with Task-independent Behavior Characterization | Tanja Katharina Kaiser and Heiko Hamann (University of Lübeck) |
| Efficient Machine Learning through Evolving Combined Deep Neural Networks | Rune Krauss, Marcel Merten, Mirco Bockholt, Saman Froehlich (Group of Co, and Rolf Drechsler (Cyber-Physical Systems, DFKI GmbH; Group of Computer Architecture, University of Bremen) |
| The Expense of Morpho-Neuro Functional Machines | Geoff Nitschke (University of Cape Town) |
| A First Step Towards Incremental Evolution of Convolutional Neural Networks | Dustin K. Barnes, Sara R. Davis, Emily M. Hand, and Sushil J. Louis (University of Nevada) |
| Multi-objective Exploration of a Granular Matter Design Space | Gary W. Delaney and Gerard Howard (CSIRO) |
| The effect of differential quality and differential zealotry in the best-of-n problem | Judhi Prasetyo (University of Namur, Middlesex University Dubai); Giulia De Masi (Zayed University); Elio Tuci (University of Namur); and Eliseo Ferrante (VU University Amsterdam, Technology Innovation Institute) |
| Exploiting Fault Localisation for Efficient Program Repair | Vesna Nowack (Queen Mary University of London), David Bowes (Lancaster University), Steve Counsell (Brunel University), Tracy Hall (Lancaster University), Saemundur Haraldsson (University of Stirling), John Woodward (Queen Mary University of London), and Emily Winter (Lancaster University) |
| Worst-case Conditional Hardness and Fast Algorithms with Random Inputs for Non-dominated Sorting | Sorrachai Yingchareonthawornchai (Aalto University), Proteek Chandan Roy (Michigan State University), Bundit Laekhanukit (Shanghai University of Finance and Economics), and Eric Torng and Kalyanmoy Deb (Michigan State University) |
| Diversity-based Design Assist for Large Legged Robots | David Howard and Thomas Lowe (CSIRO) and Wade Geles (University of Queensland) |
| Differential Evolution with Explicit Control of Diversity for Constrained Optimization | Gabriel Tadeo Vázquez Ballesteros and Carlos Segura (Centro de Investigación en Matemáticas (CIMAT)) |
| Population Control meets Doob's Martingale Theorems: theNoise-free Multimodal Case | Marie-Liesse Cauwet (ESIEE) and Olivier Teytaud (Facebook) |
| An Efficient Evolutionary Solution to the joint Order Batching - Order Picking Planning Problem | Riccardo Lucato, Jonas Falkner, and Lars Schmidt-Thieme (Universität Hildesheim) |
| Parallelized Bayesian Optimization for Problems with Expensive Evaluation Functions | Margarita Alejandra Rebolledo Coy (TH Köln, VU University Amsterdam); Frederik Rehbach (TH Köln); A. E. Eiben (VU University Amsterdam); and Thomas Bartz-Beielstein (TH Köln) |
| Performance evaluation of the MOEA/D algorithm for the solution of a microgrid planning problem | Miguel A. Rodriguez and Dario F. Lopez (Universidad Nacional de Colombia), Sergio F. Contreras (University of Bremen), Camilo A. Cortés (Universidad Nacional de Colombia), and Johanna M.A Myrzik (University of Bremen) |
| Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control | Victor L. F. Souza and Adriano L. I. Oliveira (Centro de Informática - Universidade Federal de Pernambuco), Rafael M. O. Cruz (Stradigi AI), and Robert Sabourin (École de Technologie Supérieure - Université du Québec) |
| A Test Problem with Difficulty in Decomposing into Sub-problems for Model-based Genetic Algorithms | Kei Ohnishi and Shota Ikeda (Kyushu Institute of Technology) and Tian-Li Yu (National Taiwan University) |
| Evolutionary Super Resolution | Baptiste Roziere (Facebook AI Research, Université Paris-Dauphine); Nathanaël Carraz Rakotonirina (Université d'Antananarivo); Vlad Hosu and Hanhe Lin (University of Konstanz); Andry Rasoanaivo (Université d'Antananarivo); and Olivier Teytaud and Camille Couprie (Facebook AI Research) |
| Search-Based Many-Criteria Identification of Microservices from Legacy Systems | Luiz Carvalho (Pontifical Catholic University of Rio de Janeiro), Thelma Elita Colanzi (Universidade Estadual de Maringá), Wesley K. G. Assunçao (Federal University of Technology - Paraná); Alessandro Garcia (Pontifical Catholic University of Rio de Janeiro), Maria Julia Lima (Tecgraf Institute/Pontifical Catholic University of Rio de Janeiro), Baldoino Fonseca and Márcio Ribeiro (Federal University of Alagoas), and Carlos Lucena (Pontifical Catholic University of Rio de Janeiro) |
| A Realistic Scooter Rebalancing System via Metaheuristics | Guilherme Fernandes (ALGORITMI Center, University of Minho, Portugal); Nuno Oliveira (GoWithFlow, Matosinhos); Paulo Cortez (University of Minho); and Rui Mendes (ALGORITMI Center, University of Minho) |
| Combining Sequential Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling | Marie Anastacio (Leiden University) and Holger Hoos (Leiden University, University of British Columbia) |
| Why and When are Loops Useful in Genetic Programming? | Anil Kumar Saini (University of Massachusetts Amherst) and Lee Spector (Amherst College, Hampshire College) |
| 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, and Diego Pedro Pinto Roa (Facultad Politécnica de la Universidad Nacional de Asunción) |
| Evolved Ensemble of Detectors for Gross Error Detection | Thanh Tien Nguyen and John McCall (Robert Gordon University), Allan Wilson (Accord Company), Laud Ochei (Robert Gordon University), and Helen Corbett and Phil Stockton (Accord Company) |
| A Preliminary Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming | Fangfang Zhang and Yi Mei (Victoria University of Wellington); Su Nguyen (La Trobe University,); and Mengjie Zhang (Victoria University of Wellington) |
| Using Gradient-free Local Search within MOEAs for the Treatment of Constrained MOPs | Lourdes Uribe and Adriana Lara (ESFM-IPN), Kalyanmoy Deb (Michigan State University), and Oliver Schütze (CINVESTAV-IPN) |
| Illuminating Super Mario Bros - Quality-Diversity Within Platformer Level Generation | Oliver Henry Withington (Queen Mary University of London) |
| Learning-based Multi-objective Optimization Through ANN-Assisted Online Innovization | Sukrit Mittal and Dhish Kumar Saxena (IIT Roorkee) and Kalyanmoy Deb (Michigan State University) |
| An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition with Hybrid Penalty Scheme | Jinglei Guo and Miaomiao Shao (Central China Normal University), Shouyong Jiang (University of Lincoln), and Shengxiang Yang (De Montfort University) |
| Evolving Genetic Programming Trees in a Rule-Based Learning Framework | Siddharth Verma (Netaji Subhas Institute of Technology, University of Delhi) and Piyush Borole and Ryan Urbanowicz (University of Pennsylvania) |
| Turing Learning with Hybrid Discriminators: Combining the Best of Active and Passive Learning | Yue Gu (The University of Sheffield), Wei Li (University of York), and Roderich Gross (The University of Sheffield) |
| Towards Realistic Optimisation Benchmarks: Early Results from a Questionnaire on the Properties of Real-World Problems | Koen van der Blom (Leiden University), Timo M. Deist (Centrum Wiskunde & Informatica (CWI)), Tea Tusar (Jozef Stefan Institute), Mariapia Marchi (ESTECO SpA), Yusuke Nojima (Osaka Prefecture University), Akira Oyama (Japan Aerospace Exploration Agency), Vanessa Volz (modl.ai), and Boris Naujoks (TH Köln) |
| Bayesian CMA-ES | David Saltiel (AI Square Connect, ULCO); Eric Benhamou (AI Square Connect, LAMSADE); and Sebastien Verel (ULCO) |
| Look-Ahead Natural Evolutionary Strategies | Jin Liang Jia (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu); Alfredo Alan Flores Saldivar (Industry 4.0 Artificial Intelligence Laboratory, Dongguan University of Technology Dongguan); Lin Li (College of Science and Information, Qingdao Agricultural University, Qingdao); and Yun Li (Industry 4.0 Artificial Intelligence Laboratory, Dongguan University of Technology Dongguan) |
| Differential Evolution with Reversible Linear Transformations | Jakub Mikolaj Tomczak (VU University Amsterdam), Ewelina Marta Weglarz-Tomczak (University of Amsterdam), and Agoston E. Eiben (VU University Amsterdam) |
| Critical evaluation of Sine Cosine Algorithm and a few recommendations | Qamar Askari (GIFT University, Gujranwala, Pakistan; National University of Computer and Emerging Sciences, Lahore, Pakistan) and Irfan Younas and Mehreen Saeed (National University of Computer and Emerging Sciences, Lahore, Pakistan) |
| Solving Min-Max Optimisation Problems by Means of Bilevel Evolutionary Algorithms: A Preliminary Study | Margarita Antoniou and Gregor Papa (Jozef Stefan Institute, Jozef Stefan International Postgraduate School) |
| An Artificial Sequential Immune Responses Model for Anomaly Detection | Wen Zhou and Yiwen Liang (Wuhan University) |
| Evolving HyperNetworks for Game-Playing Agents | Christian Carvelli (modl.ai); Djordje Grbic (IT University of Copenhagen); and Sebastian Risi (modl.ai, IT University of Copenhagen) |
| Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold | Tim Hansmeier (Paderborn University), Paul Kaufmann (Mainz University), and Marco Platzner (Paderborn University) |
| Continuous Optimization by Hierarchical Gaussian Mixture with Clustering Embedded Resource Allocation | Jhih-Wei Chen (Academia Sinica) and Ming-Chun Lu and Tian-Li Yu (National Taiwan University) |
| Parametrized Benchmarking: an Outline of the Idea and a Feasibility Study | Karol R. Opara (Systems Research Institute, Polish Academy of Sciences); Anas A. Hadi (Faculty of Computing and Information Technology, King Abdulaziz University); and Ali W. Mohamed (Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University,Giza 12613; Wireless Intelligent Networks Center (WINC), School of Engineering and Applied Sciences, Nile University) |
| Evolving an Artificial Creole | Geoff Nitschke (University of Cape Town) |
| Diversity-Driven Wide Learning for Training Distributed Classification Models | Rui Cardoso (Imperial College), Emma Hart (Edinburgh Napier University), and Jeremy Pitt (Imperial College) |
| Automatically Extracting Features for Face Classification Using Multi-Objective Genetic Programming | Ying Bi, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |
| A new objective function for super-resolution deconvolution of microscopy images by means of a Genetic Algorithm | Axel Mauro Lacapmesure (Laboratorio de Fotónica, Facultad de Ingeniería, Universidad de Buenos Aires; Instituto de Ingeniería Biomédica, Consejo Nacional de Investigaciones Científicas y Técnicas); Sandra Martínez (Departamento de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires; Instituto de Investigaciones Matemáticas Luis A. Santaló, Consejo Nacional de Investigaciones Científicas y Técnicas); and Oscar Martínez (Laboratorio de Fotónica, Facultad de Ingenieria, Universidad de Buenos Aires; Instituto de Ingeniería Biomédica, Consejo Nacional de Investigaciones Científicas y Técnicas) |
| Equilibrium in Classification. A New Game Theoretic Approach to Supervized Learning | Rodica Ioana Lung and Mihai Suciu (Babes-Bolyai University) |
| Population-based Evolutionary Distributed SGD | Amna Shahab and Boris Grot (University of Edinburgh) |
| A Fast GA for Automatically Evolving CNN Architectures | Wei Fang and Zhou Hong (Jiangnan University) |
| Impact of additional hardware resources on a parallel genetic algorithm | Glen Cancian (DM Roads, Downer Group) and Wayne Pullan (School of Information Communication Technology, Griffith University) |
| An adaptive neuroevolution based hyper-heuristic | Etor Arza (Basque Center for Applied Mathematics), Josu Ceberio (University of the Basque Country), and Aritz Pérez and Ekhiñe Irurozki (Basque Center for Applied Mathematics) |
| Divergent Search for Image Classification Behaviors | Jeremy Tan and Bernhard Kainz (Imperial College) |
| Stochastic Simulation Optimization Benchmarking Method in Consideration of Finite Period of Service | Takufumi Yoshida, Daisuke Yamaguchi, and Keiichi Handa (Toshiba Corporation) |
| Crash Reproduction Using Helper Objectives | Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, and Annibale Panichella (Delft University of Technology) |
| A preliminary study towards an improved shepherding model | Heba El-Fiqi and Saber Elsayed (University of New South Wales Canberra), Hemant Singh (University of New South Wales), Anthony Perry and Robert Hunjet (Defence Science and Technology Group), and Hussein Abbass (University of New South Wales Canberra) |
| Image Feature Learning with a Genetic Programming Autoencoder | Stefano Ruberto (University of Pennsylvania), Valerio Terragni (Università della Svizzera italiana), and Jason H. Moore (University of Pennsylvania) |
| DarwiNN: Efficient Distributed Neuroevolution under Communication Constraints | Lucian Petrica (Xilinx), Gurshaant Malik and Nachiket Kapre (University of Waterloo), and Michaela Blott (Xilinx) |
| On the Effect of Walsh/Fourier Transform in Surrogate-assisted Genetic Algorithms | Dong-Pil Yu and Yong-Hyuk Kim (Kwangwoon University) |
| Automated Design of Efficient Swarming Behaviours: a Q-Learning Hyper-Heuristic Approach | Gabriel Valentin Duflo (SnT, University of Luxembourg); Grégoire Danoy (SnT, FSTM/DCS, University of Luxembourg); El-Ghazali Talbi (University of Lille, CNRS/CRIStAL, Inria Lille); and Pascal Bouvry (SnT, FSTM/DCS, University of Luxembourg) |
| Improving an Evolutionary Wrapper for Attack Detection by Including Feature Importance Information | Javier Alexis Maldonado and Maria Cristina Riff (Universidad Técnica Federico Santa María) |
| Handling Uncertainty in Code Smells Detection using a Possibilistic SBSE Approach | Sofien Boutaib and Slim Bechikh (Institut supérieur de gestion de Tunis), Carlos A. Coello Coello (CINVESTAV-IPN), Chih-Cheng Hung (Kennesaw State University), and Lamjed Ben Said (Institut supérieur de gestion de Tunis) |
| Safer Reinforcement Learning through Evolved Instincts | Djordje Grbic and Sebastian Risi (IT University of Copenhagen) |
| A Local Hypervolume Contribution Schema to Improve Spread of the Pareto Front and Computational Time | Edgar Manoatl López (Mutuo Financiera) and Carlos Ignacio Hernández Castellanos (Mutuo Financiera, CINVESTAV-IPN) |
| Beer Organoleptic Optimization: Utilizing Swarm Intelligence and Evolutionary Computation Methods | Mohammad Majid al-Rifaie and Marc Cavazza (University of Greenwich) |
| Transfer Learning of Genetic Programming Instruction Sets | Thomas Helmuth (Hamilton College); Edward Pantridge (Swoop); Grace Woolson (Hamilton College); and Lee Spector (Amherst College, Hampshire College) |
| NGAP: A Novel Hybrid Metaheuristic for Round-trip Carsharing Fleet Planning | Boonyarit Changaival and Grégoire Danoy (University of Luxembourg), Dzmitry Kliazovich (Oply S.A.), Frédéric Guinand (Le Havre University), Matthias R. Brust (University of Luxembourg); Jedrzej Musial (Poznan University of Technology), Kittichai Lavangnananda (King Mongkut's University of Technology Thonburi), and Pascal Bouvry (University of Luxembourg) |
| Evolving Search Trajectories | Vincent Hénaux, Adrien Goëffon, Frédéric Saubion |