- The review process is now over: 103 contributions have been accepted as workshop papers. They will be published in the Companion Volume (and hence in the Digital Library) and presented during the workshop sessions of the conference.
- Search the list below by typing text in the column headers.
- The Papers Submission Instructions are still available for your information.
| Track | Title | Authors |
|---|---|---|
| WS - BB-DOB | Towards Better Estimation of Statistical Significance When Comparing Evolutionary Algorithms | Maxim Buzdalov (ITMO University) |
| WS - BB-DOB | Illustrating the Trade-Off between Time, Quality, and Success Probability in Heuristic Search | Ivan Ignashov, Arina Buzdalova, and Maxim Buzdalov (ITMO University) and Carola Doerr (CNRS, Sorbonne University) |
| WS - BB-DOB | Kinder Surprise's Debut in Discrete Optimisation -- A Real-World Toy Problem that can be Subadditive | Markus Wagner (School of Computer Science, The University of Adelaide) |
| WS - BB-DOB | Binary 100-Digit Challenge using IEEE-754 Coded Numerical Optimization Scenarios (100b-Digit) and V-shape Binary Distance-based Success History Differential Evolution (DISHv) | Ales Zamuda (University of Maribor) |
| WS - BB-DOB | Bayesian Performance Analysis for Black-Box Optimization Benchmarking | Borja Calvo (University of the Basque Country (UPV/EHU)); Ofer M. Shir (Tel-Hai College and Migal Institute); Josu Ceberio (University of the Basque Country (EHU/UPV)); Carola Doerr (Sorbonne University, CNRS); Hao Wang and Thomas Bäck (Leiden Institute for Advanced Computer Science); and Jose A. Lozano (University of the Basque Country (EHU/UPV)) |
| WS - BB-DOB | Benchmarking Discrete Optimization Heuristics with IOHprofiler | Carola Doerr (CNRS, Sorbonne University); Furong Ye (LIACS, Leiden University); Naama Horesh (The Galilee Research Institute - Migal); Hao Wang (LIACS, Leiden University); Ofer M. Shir (The Galilee Research Institute - Migal); and Thomas Bäck (LIACS, Leiden University) |
| WS - BBOB | Benchmarking MO-CMA-ES and COMO-CMA-ES on the Bi-objective bbob-biobj Testbed | Paul Dufossé (Inria Saclay–Île-de-France, Thales Research & Technology) and Cheikh Touré (Inria Saclay–Île-de-France, Ecole Polytechnique) |
| WS - BBOB | The Impact of Sample Volume in Random Search on the bbob Test Suite | Dimo Brockhoff and Nikolaus Hansen (Inria, Ecole Polytechnique) |
| WS - BBOB | Benchmarking Large Scale Variants of CMA-ES and L-BFGS-B on the bbob-largescale Testbed | Konstantinos Varelas (Inria Saclay–Île-de-France) |
| WS - BBOB | Benchmarking Multivariate Solvers of SciPy on the Noiseless Testbed | Konstantinos Varelas (Inria Saclay–Île-de-France, Thales LAS France SAS) and Marie-Ange Dahito (Inria Saclay–Île-de-France, PSA Group) |
| WS - BBOB | Benchmarking the ATM Algorithm on the BBOB 2009 Noiseless Function Testbed | Benjamin Jacob Bodner (Brown University) |
| WS - BBOB | Benchmarking GNN-CMA-ES on the BBOB noiseless testbed | Louis Faury (Criteo; LTCI, Université Paris-Saclay); Clément Calauzènes (Criteo); and Olivier Fercoq (LTCI, Université Paris-Saclay) |
| WS - BBOB | Benchmarking Algorithms from the platypus Framework on the Biobjective bbob-biobj Testbed | Dimo Brockhoff (Inria, Ecole Polytechnique) and Tea Tušar (Jozef Stefan Institute) |
| WS - CIASE | Determination of Microscopic Residual Stresses using Evolutionary Algorithms | J. Ignacio Hidalgo (Complutense University of Madrid), Ricardo Fernández (Centro Nacional de Investigaciones Metalúrgicas-CSIC), J. Manuel Colmenar (Universidad Rey Juan Carlos), Oscar Garnica and Juan Lanchares (Universidad Complutense de Madrid), and Gaspar González-Doncel (Centro Nacional de Investigaciones Metalúrgicas-CSIC) |
| WS - CIASE | Solving Multi-objective Dynamic Travelling Salesman Problems by Relaxation | Lorenzo Angelo Ricciardi and Massimiliano Vasile (University of Strathclyde) |
| WS - CIASE | Immune and Genetic Hybrid Optimization Algorithm for Data Relay Satellite with Microwave and Laser Links | Weihu Zhao, Guijin Xia, Cheng Dong, Wei Li, Shuai Ren, Yinghui Xue, Shuwen Chen, and Xiya Chen (National University of Defense Technology) |
| WS - CIASE | Hybridizing Differential Evolution and Novelty Search for Multimodal Optimization Problems | Aritz D. Martinez, Eneko Osaba, and Izaskun Oregi (Tecnalia Research and Innovation); Iztok Fister Jr. and Iztok Fister (University of Maribor); and Javier Del Ser (Tecnalia Research and Innovation, University of the Basque Country) |
| WS - CIASE | Benchmarking Constrained Surrogate-based Optimization on Low Speed Airfoil Design Problems | Pramudita Satria Palar (Institut Teknologi Bandung), Yohanes Bimo Dwianto (The University of Tokyo), Rommel Regis (Saint Joseph's University), Akira Oyama (Japan Aerospace Exploration Agency), and Lavi Rizki Zuhal (Institut Teknologi Bandung) |
| WS - CIASE | Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function | Dario Izzo, Ekin Öztürk, and Marcus Märtens (European Space Agency) |
| WS - CIASE | Structured-Chromosome GA Optimisation For Satellite Tracking | Lorenzo Gentile (TH Köln, University of Strathclyde); Cristian Greco and Edmondo Minisci (University of Strathclyde); Thomas Bartz-Beielstein (TH Köln); and Massimiliano Vasile (University of Strathclyde) |
| WS - DTEO | Differential Evolution for Multi-Modal Multi-Objective Problems | Monalisa Pal and Sanghamitra Bandyopadhyay (Indian Statistical Institute) |
| WS - EAUNC | Uncertainty in Real-World Steel Stacking Problems | Andreas Beham (University of Applied Sciences Upper Austria, Johannes Kepler University); Sebastian Raggl and Stefan Wagner (University of Applied Sciences Upper Austria); and Michael Affenzeller (University of Applied Sciences Upper Austria, Johannes Kepler University) |
| WS - EAUNC | Hybrid Techniques for Detecting Changes in Less Detectable Dynamic Multiobjective Optimization Problems | Shaaban Sahmoud and Haluk Rahmi Topcuoglu (Marmara University) |
| WS - EAUNC | A Generator for Dynamically Constrained Optimization Problems | Gary Pamparà (University of Pretoria) and Andires P. Engelbrecht (Stellenbosh University) |
| WS - ECADA | Toward Self-Learning Model-Based EAs | Erik Andreas Meulman (Delft University of Technology, Centrum Wiskunde & Informatica (CWI)) and Peter Alexander Nicolaas Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| WS - ECADA | Evolving Mean-Update Selection Methods for CMA-ES | Samuel N. Richter, Michael G. Schoen, and Daniel R. Tauritz (Missouri University of Science and Technology) |
| WS - ECADA | Empirical Evidence of the Effectiveness of Primitive Granularity Control for Hyper-Heuristics | Adam Harter (Missouri University of Science and Technology); Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Chris Rawlings (Los Alamos National Laboratory) |
| WS - ECADA | Automated Design of Random Dynamic Graph Models | Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Chris Rawlings (Los Alamos National Laboratory) |
| WS - ECADA | SAPIAS: Towards an independent Self-Adaptive Per-Instance Algorithm Selection for Metaheuristics | Mohamed Amine EL Majdouli (Mohammed V University) |
| WS - ECADA | Instruction-Level Design of Local Optimisers using Push GP | Michael Adam Lones (Heriot-Watt University) |
| WS - ECMCDM | Minimum Spanning Tree-based Clustering of Large Pareto Archives | Andrzej Jaszkiewicz (Poznan University of Technology) |
| WS - ECMCDM | A Tabu Search-based Memetic Algorithm for the Multi-objective Flexible Job Shop Scheduling Problem | Marios Kefalas (Leiden University), Steffen Limmer (Honda Research Institute Europe GmbH), Asteris Apostolidis (KLM Royal Dutch Airlines), Markus Olhofer (Honda Research Institute Europe GmbH), and Michael Emmerich and Thomas Baeck (Leiden University) |
| WS - ECPERM | Evolutionary Search Techniques for the Lyndon Factorization of Biosequences | Amanda Clare, Jacqueline W. Daykin, and Thomas Mills (Aberystywth University) and Christine Zarges (Aberystwyth University) |
| WS - ECPERM | Search moves in the local optima networks of permutation spaces: the QAP case | Marco Baioletti and Alfredo Milani (University of Perugia), Valentino Santucci (University for Foreigners of Perugia), and Marco Tomassini (University of Lausanne) |
| WS - ECPERM | Deriving Knowledge from Local Optima Networks for Evolutionary Optimization in Inventory Routing Problem | Piotr Lipinski (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw) and Krzysztof Michalak (Department of Information Technologies, Institute of Business Informatics, Wroclaw University of Economics) |
| WS - ECPERM | On the Definition of Dynamic Permutation Problems under Landscape Rotation | Joan Alza (Robert Gordon University, University of the Basque Country); Mark Bartlett (Robert Gordon University); Josu Ceberio (University of the Basque Country); and John McCall (Robert Gordon University) |
| WS - ECPERM | An Experimental Comparison of Algebraic Differential Evolution using different Generating Sets | Marco Baioletti and Alfredo Milani (University of Perugia) and Valentino Santucci and Umberto Bartoccini (University for Foreigners of Perugia) |
| WS - EVOGRAPH | Nature-Inspired Metaheuristics for optimizing Information Dissemination in Vehicular Networks | Antonio David Masegosa (University of Deusto; Ikerbasque, Basque Foundation for Sciences); Eneko Osaba (TECNALIA Research and Innovation); Juan S. Angarita-Zapata (University of Deusto); Ibai Laña (TECNALIA Research and Innovation); and Javier Del Ser (TECNALIA Research and Innovation, University of the Basque Country) |
| WS - EVOGRAPH | Combining Bio-inspired Meta-Heuristics and Novelty Search for Community Detection over Evolving Graph Streams | Eneko Osaba (Tecnalia Research & Innovation), Javier Ser (University of the Basque Country), Angel Panizo and David Camacho (Universidad Autónoma de Madrid), and Akemi Galvez and Andres Iglesias (University of Cantabria) |
| WS - EVOGRAPH | Solving the Parameterless Firefighter Problem using Multiobjective Evolutionary Algorithms | Krzysztof Michalak (Wroclaw University of Economics) |
| WS - EvoSoft | MABE 2.0: an introduction to MABE and a road map for the future of MABE development | Clifford Bohm, Alexander Lalejini, Jory Schossau, and Charles Ofria (Michigan State University) |
| WS - EvoSoft | A Symbolic Evolutionary Algorithm Software Platform | Rodolfo Ayala Lopes, Thiago Macedo Gomes, and Alan R. R. de Freitas (Universidade Federal de Ouro Preto) |
| WS - EvoSoft | ECJ at 20: Toward a General Metaheuristics Toolkit | Eric O. Scott and Sean Luke (George Mason University) |
| WS - EvoSoft | Generalized Incremental Orthant Search: Towards Efficient Steady-State Evolutionary Multiobjective Algorithms | Maxim Buzdalov (ITMO University) |
| WS - EvoSoft | Automatic Configuration of NSGA-II with jMetal and irace | Antonio J. Nebro (University of Málaga), Manuel López-Ibáñez (University of Manchester), and Barba-González Cristóbal and García-Nieto José (University of Málaga) |
| WS - EvoSoft | Evolutionary and Swarm-Intelligence Algorithms through Monadic Composition | Gary Pamparà (University of Pretoria) and Andries P. Engelbrecht (Stellenbosh University) |
| WS - GBEA | Game AI Hyperparameter Tuning in Rinascimento | Ivan Bravi, Vanessa Volz, and Simon Lucas (Queen Mary University of London) |
| WS - GI | Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts | Mahfouth Alghamdi and Christoph Treude (University of Adelaide) and Markus Wagner (School of Computer Science, The University of Adelaide) |
| WS - GI | Genetic Algorithms for Affine Transformations to Existential $t$-Restrictions | Ryan E. Dougherty, Erin Lanus, Charles J. Colbourn, and Stephanie Forrest (Arizona State University) |
| WS - GI | The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach | Mahmoud Bokhari (School of Computer Science, The University of Adelaide; Taibah University) and Markus Wagner and Brad Alexander (School of Computer Science, The University of Adelaide) |
| WS - GI | A Survey of Genetic Improvement Search Spaces | Justyna Petke (University College London), Brad Alexander (University of Adelaide), Earl T. Barr (University College London), Alexander E.I. Brownlee (University of Stirling), Markus Wagner (University of Adelaide), and David R. White (University of Sheffield) |
| WS - GI | On Adaptive Specialisation in Genetic Improvement | Aymeric Blot and Justyna Petke (University College London) |
| WS - GI | Genetic Improvement of Data gives double precision invsqrt | W. Langdon (ucl) |
| WS - HCNURS | Computing Rational Border Curves of Melanoma and Other Skin Lesions from Medical Images with Bat Algorithm | Akemi Galvez (University of Cantabria, Toho University); Iztok Fister Jr. (University of Maribor); Eneko Osaba (Tecnalia); Iztok Fister (University of Maribor); Javier Del Ser (Tecnalia, University of the Basque Country); and Andres Iglesias (University of Cantabria, Toho University) |
| WS - HCNURS | Discovering dependencies among mined association rules with population-based metaheuristics | Iztok Fister Jr. (University of Maribor), Akemi Galvez (University of Cantabria), Eneko Osaba and Javier Del Ser (TECNALIA), Andres Iglesias (University of Cantabria), and Iztok Fister (University of Maribor) |
| WS - HCNURS | An Entirely Self-Administrated Genetic Algorithm Implemented Using Blockchain Technology | Koichi Nakayama, Kanta Nanri, Yutaka Moriyama, and Chika Oshima (Saga University) |
| WS - HCNURS | Drone Monitoring System for Disaster Areas | Patrick Hock (Faculty of Science and Engineering, Saga University); Koki Wakiyama and Koichi Nakayama (Graduate School of Science and Engineering, Saga University); and Chika Oshima (Faculty of Science and Engineering, Saga University) |
| WS - HCNURS | Intention Inference from 2D Poses of Preliminary Action Using OpenPose | Ryuji Tanaka, Chika Oshima, and Koichi Nakayama (Saga University) |
| WS - HCNURS | A Deep Learning System that Learns a Discriminative Model Autonomously Using Difference Images | Ryodai Hamasaki and Koichi Nakayama (Saga University) |
| WS - IAM | Increasing Trust in Meta-Heuristics by Using MAP-Elites | Neil Urquhart (Edinburgh Napier University), Michael Guckert (Technische Hochschule Mittelhessen), and Simon Powers (Edinburgh Napier University) |
| WS - IAM | A Memetic Algorithm to Optimize Bus Timetable with Unequal Time Intervals | Pengfei Gao and Xingquan Zuo (Beijing University of Posts and Telecommunications) |
| WS - iGECCO | Human-Evolutionary Problem Solving through Gamification of a Bin-Packing Problem | Nicholas David Fitzhavering Ross and Edward Keedwell (University of Exeter); Dragan Savic (University of Exeter; KWR Water Cycle Research Institute, Nieuwegein); and Matthew Barrie Johns (University of Exeter) |
| WS - iGECCO | An Intuitive and Traceable Human-based Evolutionary Computation System for Solving Problems in Human Organizations | Kei Ohnishi (Kyushu Institute of Technology), Tomohiro Yoshikawa (Nagoya University), and Tian-Li Yu (National Taiwan University) |
| WS - IWLCS | LCS-Based Automatic Configuration of Approximate Computing Parameters for FPGA System Designs | Simon Conrady (Arnold & Richter Cine Technik), Manu Manuel (Technical University of Munich), Arne Kreddig (SmartRay GmbH), and Walter Stechele (Technical University of Munich) |
| WS - IWLCS | A Survey of Formal Theoretical Advances Regarding XCS | David Pätzel, Anthony Stein, and Jörg Hähner (University of Augsburg) |
| WS - IWLCS | Real-Time Detection of Internet Addiction Using Reinforcement Learning System | Hong-Ming Ji and Liang-Yu Chen (National Chiao Tung University/Institute of Computer Science and Engineering, College of Computer Science) and Tzu-Chien Hsiao (National Chiao Tung University/Department of Computer Science, College of Computer Science; National Chiao Tung University/Institute of Biomedical Engineering, College of Electrical and Computer Engineering) |
| WS - IWLCS | Predicting the Remaining Useful Life of Plasma Equipment through XCSR | Liang-Yu Chen and Jia-Hua Lee (National Chiao Tung University/Institute of Computer Science and Engineering, College of Computer Science); Ya-Liang Yang (National Chiao Tung University/Department of Computer Science, College of Computer Science); Ming-Tsung Yeh (United Microelectronics Corporation/Smart Manufacturing Division, Architecture 4); and Tzu-Chien Hsiao (National Chiao Tung University/Department of Computer Science, College of Computer Science; National Chiao Tung University/Institute of Biomedical Engineering, College of Electrical and Computer Engineering) |
| WS - IWLCS | XCS-CR for Handling Input, Output, and Reward Noise | Takato Tatsumi and Keiki Takadama (The University of Electro-Communications) |
| WS - IWLCS | Preliminary tests of a real-valued Anticipatory Classifier System | Norbert Kozlowski and Olgierd Unold (Wroclaw University of Technology) |
| WS - LAHS | Coupling the Design of Benchmark with Algorithm in Landscape-Aware Solver Design | Johann Dreo (Thales Research & Technology); Carola Doerr (CNRS, Sorbonne University); and Yann Semet (Thales Research & Technology) |
| WS - LAHS | Landscape Analysis Under Measurement Error | Khulood Alyahya, Ozgur E. Akman, and Jonathan E. Fieldsend (University of Exeter) |
| WS - LAHS | Local Optima Network Analysis for MAX-SAT | Gabriela Ochoa (University of Stirling) and Francisco Chicano (University of Malaga) |
| WS - LAHS | Visualising the Landscape of Multi-Objective Problems using Local Optima Networks | Jonathan Edward Fieldsend and Khulood Alyahya (University of Exeter) |
| WS - LAHS | Local Optima Networks for Continuous Fitness Landscapes | Jason Adair and Gabriela Ochoa (University of Stirling) and Katherine Mary Malan (University of South Africa) |
| WS - MedGEC | Application of Classification for Figure Copying Test in Parkinson’s Disease Diagnosis by Using Cartesian Genetic Programming | Tian Xia (University of York); Jeremy Cosgrove, Jane Alty, and Stuart Jamieson (Leeds General Infirmary); and Stephen Smith (University of York) |
| WS - MedGEC | Can Clustering Improve Glucose Forecasting with Genetic Programming Models? | Sergio Contador, J. Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, and Juan Lanchares (Universidad Complutense de Madrid) |
| WS - MedGEC | A New Evolutionary Rough Fuzzy Integrated Machine Learning Technique for microRNA selection using Next-Generation Sequencing data of Breast Cancer | Jnanendra Prasad Sarkar (Department of Computer Science \and Engineering, Jadavpur University, Kolkata; Larsen & Toubro Infotech Ltd.); Indrajit Saha (Department of Computer Science \and Engineering, National Institute of Technical Teachers' Training & Research, Kolkata); Somnath Rakshit (Centre of New Technologies, University of Warsaw); Monalisa Pal (Machine Intelligence Unit, Indian Statistical Institute, Kolkata); Michal Wlasnowolski (Faculty of Mathematics and Information Science, Warsaw University of Technology; Center of New Technologies, University of Warsaw); Anasua Sarkar and Ujjwal Maulik (Department of Computer Science \and Engineering, Jadavpur University, Kolkata); and Dariusz Plewczynski (Centre of New Technologies, University of Warsaw) |
| WS - MedGEC | Semantic Learning Machine Improves the CNN-Based Detection of Prostate Cancer in Non-Contrast-Enhanced MRI | Paulo Lapa (NOVA IMS, Universidade Nova de Lisboa); Ivo Gonçalves (INESC Coimbra, DEEC, University of Coimbra); Leonardo Rundo (Department of Radiology, University of Cambridge); and Mauro Castelli (NOVA IMS, Universidade Nova de Lisboa) |
| WS - NSBECR | Exploring the MLDA Benchmark on the Nevergrad Platform | Jeremy Rapin (Facebook AI Research); Marcus Gallagher (University of Queensland); Pascal Kerschke (University of Münster); Mike Preuss (LIACS, Universiteit Leiden); and Olivier Teytaud (Facebook AI Research) |
| WS - NSBECR | Comparison of Contemporary Evolutionary Algorithms on the Rotated Klee-Minty Problem | Michael Hellwig, Patrick Spettel, and Hans-Georg Beyer (Vorarlberg University of Applied Sciences) |
| WS - RWACMO | Implementing Evolutionary Optimization to Model Neural Functional Connectivity | Kaitlin M. Maile (The University of Texas at Austin), Manish Saggar (Stanford University), and Risto Miikkulainen (The University of Texas at Austin) |
| WS - RWACMO | Identifying Solutions of Interest for Practical Many-objective Problems using Recursive Expected Marginal Utility | Hemant Kumar Singh and Tapabrata Ray (The University of New South Wales) and Tobias Rodemann and Markus Olhofer (Honda Research Institute Europe GmbH) |
| WS - RWACMO | Worst Case Search over a Set of Forecasting Scenarios Applied to Financial Stress-Testing | Steffen Finck (FH Vorarlberg University of Applied Sciences) |
| WS - SAEOpt | Multi-Point Infill Sampling Strategies Exploiting Multiple Surrogate Models | Paul Beaucaire, Charlotte Beauthier, and Caroline Sainvitu (Cenaero) |
| WS - SAEOpt | On The Use of Surrogate Models in Engineering Design Optimization and Exploration: The Key Issues | Pramudita Satria Palar (Institut Teknologi Bandung), Rhea Patricia Liem (The Hong Kong University of Science and Technology), Lavi Rizki Zuhal (Institut Teknologi Bandung), and Koji Shimoyama (Tohoku University) |
| WS - SAEOpt | Prediction of neural network performance by phenotypic modeling | Alexander Hagg (Bonn-Rhein-Sieg University of Applied Sciences, Leiden Institute of Advanced Computer Science); Martin Zaefferer and Jörg Stork (TH Köln, Institute for Data Science, Engineering, and Analytics); and Adam Gaier (Bonn-Rhein-Sieg University of Applied Sciences) |
| WS - SAEOpt | Benchmarking Surrogate-Assisted Genetic Recommender Systems | Thomas Gabor and Philipp Altmann (LMU Munich) |
| WS - SAEOpt | Deadline-Driven Approach for Multi-Fidelity Surrogate-Assisted Environmental Model Calibration | Nikolay Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna Kalyuzhnaya, and Sergey Kovalchuk (ITMO University) |
| WS - SAEOpt | On Benchmarking Surrogate-Assisted Evolutionary Algorithms | Vanessa Volz (Queen Mary University of London) and Boris Naujoks (TH Köln - University of Applied Sciences) |
| WS - SecDef | Darwinian Malware Detectors: A Comparison of Evolutionary Solutions to Android Malware | Zachary Wilkins and Nur Zincir-Heywood (Dalhousie University) |
| WS - SecDef | Automated Design of Tailored Link Prediction Heuristics for Applications in Enterprise Network Security | Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Melissa Turcotte (Los Alamos National Laboratory) |
| WS - SecDef | Vulnerability Assessment of Machine Learning Based Malware Classification Models | Yasir Malik and Adetokunbo Makanju (NYiT) and Godwin Raju and Pavol Zavarsky (Concordia University of Edmonton) |
| WS - SecDef | $C^3PO$: Cipher Construction with Cartesian genetic PrOgramming | Stjepan Picek (Delft University of Technology) and Karlo Knezevic, Domagoj Jakobovic, and Ante Derek (University of Zagreb) |
| WS - SecDef | Investigating Algorithms for Finding Nash Equilibria in Cybersecurity Problems | Linda Zhang and Erik Hemberg (MIT) |
| WS - SecDef | A Role-Base Approach and a Genetic Algorithm for VLAN Design in Large Critical Infrastructures | Igor Saenko (ITMO University) and Igor Kotenko (St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), ITMO University) |
| WS - SecDef | A Mixed Framework to Support Heterogeneous Collection Asset Scheduling | Jean Berger (Defence Research Development Canada - Valcartier); Moufid Harb, Ibrahim Abualhaol, Alexander Tekse, and Rami Abielmona (Larus Technologies Corporation); and Emil Petriu (University of Ottawa) |
| WS - SecDef | A New approach for Malware Detection Based on Evolutionary Algorithm | Farnoush Manavi and Ali Hamzeh (Shiraz university) |
| WS - SmartEA | Business Models for Flexibility of Electric Vehicles: Evolutionary Computation for a Successful Implementation | Fernando Lezama, Joao Soares, Ricardo Faia, and ZIta Vale (GECAD, Polytechnic of Porto) and Leonardo H. Macedo and Ruben Romero (LaPSEE/UNESP) |
| WS - UMLOP | Automatic Surrogate Modelling Technique Selection based on Features of Optimization Problems | Bhupinder Singh Saini (University of Jyväskylä), Manuel López-Ibáñez (University of Manchester), and Kaisa Miettinen (University of Jyväskylä) |
| WS - UMLOP | Global structure of policy search spaces for reinforcement learning | Belinda Stapelberg and Katherine Mary Malan (University of South Africa) |
| WS - UMLOP | Making a Case for (Hyper-)Parameter Tuning as Benchmark Problems | Carola Doerr (CNRS, Sorbonne University); Johann Dreo (Thales Research & Technology); and Pascal Kerschke (WWU Muenster) |
| WS - UMLOP | Evolutionary Discovery of Coresets for Classification | Pietro Barbiero (Politec); Giovanni Squillero (Politecnico di Torino); and Alberto Tonda (INRA, Université Paris-Saclay) |
| WS - VizGEC | An Analysis of Dimensionality Reduction Techniques for Visualizing Evolution | Andrea De Lorenzo and Eric Medvet (DIA, University of Trieste); Tea Tušar (Department of Intelligent Systems, Jožef Stefan Institute); and Alberto Bartoli (DIA, University of Trieste) |