- The review process is now over: 138 papers have been accepted as full papers. They will be published in the Proceedings (and hence in the Digital Library) and presented during one of the sessions of the conference. See the list below (dynamic search by typing text in the column headers).
- See also the list of the 26 nominees for Best Papers.
- The Call for Papers and the Papers submission information and the Papers submission instruction are still available for your information.
Track | Title | Authors |
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ACO-SI | Update Strength in EDAs and ACO: How to Avoid Genetic Drift | Dirk Sudholt (University of Sheffield)
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ACO-SI | Using Mutual Information to build dynamic neighbourhoods for Particle Swarm Optimisation | Ángel Arturo Rojas-García (Center for Research in Mathematics)
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ACO-SI | Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition | Saúl Zapotecas-Martínez (SHINSHU University)
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ACO-SI | Curvature Flight Path for Particle Swarm Optimisation | Cheng Wai Kheng (Universiti Tunku Abdul Rahman)
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ACO-SI | ACO-inspired Acceleration of Gossip Averaging | Andreas Janecek (University of Vienna)
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ACO-SI | A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm | Ayah Mohamed Helal (University of Kent)
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ACO-SI | A New Discrete Particle Swarm Optimization Algorithm | Shane Strasser (Montana State University)
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ACO-SI | The Influence of Hereditary Models on Adaptability in Evolutionary Swarms | Ruby Louisa Viktoria Moritz (Otto-von-Guericke-Universität Magdeburg)
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ACO-SI | Relaxing Consensus in Distributed Factored Evolutionary Algorithms | Stephyn Butcher (Johns Hopkins University)
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AIS-BIO | Artificial Immune Systems can Beat Evolutionary Algorithms in Combinatorial Optimisation | Benjamin Doerr (École Polytechnique Université Paris-Saclay France)
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AIS-BIO | A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscape | Emmanuel Sapin (George Mason University)
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CO | Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking | Ouassim AIT ELHARA (TAO Team INRIA Saclay–Île-de-France LRI Paris Sud University Saclay University)
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CO | Experimental Investigation of Recombination Operators for Differential Evolution | Felipe Campelo (Department of Electrical Engineering Universidade Federal de Minas Gerais)
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CO | Population Size Adaptation for the CMA-ES Based On the Estimation Accuracy of the Natural Gradient | Kouhei Nishida (Shinshu University)
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CO | Projection-Based Restricted Covariance Matrix Adaptation for High Dimension | Youhei Akimoto (Shinshu University)
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CO | Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling | Asma Atamna (Inria)
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CO | Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models | Pascal Kerschke (University of Münster)
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CO | Analysis of Different Types of Regret in Continuous Noisy Optimization | Sandra Astete-Morales (INRIA Saclay)
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CS | Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes | Milan Rybar (University of Paderborn Germany)
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CS | Evolving Neural Turing Machines for Reward-based Learning | Rasmus Boll Greve (IT University of Copenhagen)
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CS | Evolvability Search: Directly Selecting for Evolvability in Order to Study and Produce It | Henok S. Mengistu (University of Wyoming)
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CS | Accelerating the Evolution of Cognitive Behaviors Through Human-Computer Collaboration | Mathias Löwe (IT University of Copenhagen)
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CS | How do different encodings influence the performance of the MAP-Elites algorithm? | Danesh Tarapore (University of York)
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CS | Identifying Core Functional Networks and Functional Nodules within Neural Networks via Subsets Regression | Roby Velez (University of Wyoming)
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CS | Quantifying Deception: A Case Study in the Evolution of Antimicrobial Resistance | Margaret J. Eppstein (University of Vermont)
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CS | Neuromodulation Improves the Evolution of Forward Models | Mohammad Sadegh Norouzzadeh (University of Wyoming)
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CS | A Many-task Approach to Behavior Characterization for Novelty Search | Elliot Meyerson (The University of Texas at Austin)
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CS | Convolution by Evolution: Differentiable Pattern Producing Networks | Chrisantha Fernando (Google Deepmind)
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CS | EvoRBC: Evolutionary Repertoire-based Control for Robots with Arbitrary Locomotion Complexity | Miguel Duarte (Instituto Universitário de Lisboa (ISCTE-IUL))
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CS | Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks? | Joost Huizinga (University of Wyoming)
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DETA | Demonstrating the Feasibility of Automatic Game Balancing | Vanessa Volz (TU Dortmund University)
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DETA | Discovering combos in fighting games with evolutionary algorithms | Gianlucca Zuin (Universidade Federal de Minas Gerais)
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DETA | Evolutionary Type Design | Tiago Martins (Center for Informatics and Systems of the University of Coimbra)
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DETA | General Video Game Level Generation | Ahmed Khalifa (New York University)
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DETA | Two-Dimensional Barcode Decoration Using Module-wise Non-systematic Coding and Cooperative Evolution by User and System | Makoto Kamizono (Kagoshima University)
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ECOM | On the design of hard mUBQP instances | Murilo Zangari (Federal University of Parana)
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ECOM | Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming | Yi Mei (Victoria University of Wellington)
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ECOM | Efficient Hill Climber for Pseudo-Boolean Optimization Problems with Constraints | Francisco Chicano (University of Malaga)
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ECOM | Additional Dimensions to the Study of Funnels in Combinatorial Landscapes | Gabriela Ochoa (University of Stirling)
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ECOM | Game theory Extremal optimization and Community Structure Detection in Complex Networks | Mihai Alexandru Suciu (Babes-Bolyai University)
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ECOM | Fast Heuristics for the Multiple Traveling Thieves Problem | Shelvin Chand (UNSW Canberra)
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ECOM | Multi-objective Neutral Neighbors? What could be the definition(s)? | Marie-Eléonore Marmion (University of Lille)
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ECOM | Communities of Local Optima as Funnels in Fitness Landscapes | Sebastian Herrmann (Johannes Gutenberg-Universität Mainz)
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ECOM | A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs | Angus Kenny (RMIT University)
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ECOM | A Simulated Annealing Algorithm for Maximum Common Edge Subgraph Detection in Biological Networks | Simon Jonas Larsen (University of Southern Denmark)
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ECOM | Evolutionary approaches to optimization problems in Chimera topologies | Roberto Santana (University of the Basque Country (UPV/EHU))
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ECOM | Population-based vs. Single-solution Heuristics for the Travelling Thief Problem | Mohamed El Yafrani (Mohammed V University in Rabat)
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ECOM | HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm | Marcella Scoczynski Ribeiro Martins (Federal University of Technology (UTFPR))
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ECOM | Cellular genetic algorithm for solving a routing on-demand Transit Problem | Olfa Chebbi (Institut Supérieur de Gestion de Tunis Université de Tunis)
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ECOM | On the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack Problem | Junhua Wu (University of Adelaide)
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ECOM | Extension of the CMSA Algorithm: An LP-based Way for Reducing Sub-instances | Christian Blum (UPV/EHU Ikerbasque)
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ECOM | Ants can Learn from the Opposite | Nicolás Rojas-Morales (Universidad Técnica Federico Santa María)
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ECOM | Multi-hard problems in uncertain environment | Michal Przybylek (Polish-Japanese Academy of Information Technology)
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EML | Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks | Gregory Morse (University of Central Florida)
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EML | Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression | Lars Vidar Magnusson (Østfold University College)
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EML | A hybrid approach for sleep stages classification | Abdelhamid Ouanes (Optimization Strategies and Intelligent Information Engineering Laboratory (SOIE Lab) Higher Institute of Management of Tunis (ISG) Le Bardo Tunisia)
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EML | Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Data Sets | John P. Hanley (University of Vermont)
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EML | A New Evaluation Function for Clustering: The NK Internal Validation Criterion | Renato Tinos (University of São Paulo)
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EML | Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science | Randal Shadburt Olson (University of Pennsylvania)
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EML | A Wavelet-based Encoding for Neuroevolution | Sjoerd van Steenkiste (Department of Knowledge Engineering Maastricht University)
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EML | Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference | Yi Mei (Victoria University of Wellington)
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EML | Using an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery | James Brookhouse (University of Kent)
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EML | Evolving LSTMs with Maximum Information Objective to Achieve Deep Memory | Aditya Rawal (University of Texas at Austin)
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EML | Transferable XCS | Xianneng Li (Dalian University of Technology)
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EML | Human-inspired scaling in Learning Classifier Systems: Case study on the n-bit Multiplexer Problem Set | Isidro Alvarez (Victoria University of Wellington)
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EMO | Runtime Analysis of Evolutionary Diversity Maximization for OneMinMax | Benjamin Doerr (École Polytechnique Université Paris-Saclay)
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EMO | Bio-inspired multi-objective optimization design of a highly efficient squirrel cage induction motor | Sergio Felipe Contreras Paredes (Universidad Nacional de Colombia Sede Bogotá)
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EMO | Active Learning and Multi-Objective Evolutionary Algorithms for Sustainable Building Design | Siamak Safarzadegan Gilan (georgia institute of technology)
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EMO | A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization | Rayan Zakaria Hussein (Michigan State University)
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EMO | A novel multi-objective optimization-based image registration method | Meifeng Shi (College of Computer Science Chongqing University)
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EMO | A Toolkit for Generating Scalable Stochastic Multiobjective Test Problems | Shaul Salomon (The University of Sheffield)
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EMO | Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients | Mohamed Abouhawwash (Michigan State University)
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EMO | A Faster Algorithm for the Binary Epsilon Indicator Based on Orthant Minimum Search | Andrey Vasin (ITMO University)
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EMO | A Correlation Analysis of Set Quality Indicator Values in Multiobjective Optimization | Arnaud Liefooghe (Univ. Lille France)
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EMO | A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates | Raquel Hernández (CINVESTAV-IPN)
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EMO | Tuning of Multiple Parameter Sets in Evolutionary Algorithms | Martin Andersson (University of Skövde)
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EMO | Experiments on Greedy and Local Search Heuristics for d-dimensional Hypervolume Subset Selection | Matthieu Basseur (Université d'Angers)
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GA | Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms | Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))
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GA | Surprise Search: Beyond Objectives and Novelty | Daniele Gravina (Institute of Digital Games University of Malta Malta)
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GA | Estimating the Advantage of Age-Layering in Evolutionary Algorithms | Babak Hodjat (Sentient Technologies Inc.)
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GA | Breaking the Billion Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm | Kalyanmoy Deb (Michigan State University)
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GA | Exploiting Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering Problems | Jim Smith (University of the West of England)
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GA | Escaping Local Optima with Diversity Mechanisms and Crossover | Duc-Cuong Dang (University of Nottingham)
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GA | A Parallel Hybrid Genetic Algorithm for the k-Edge-Connected Hop-Constrained Network Design Problem | Ibrahima Diarrassouba (Le Havre University)
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GA | Fast Building Block Assembly by Majority Vote Crossover | Tobias Friedrich (Hasso Plattner Institute Potsdam Germany)
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GA | Hidden Genes Genetic Algorithms for Systems Architecture Optimization | Ossama Abdelkhalik (Michigan Tech University)
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GA | Runtime Analysis for the Parameter-less Population Pyramid | Brian Wesley Goldman (Michigan State University)
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GP | A Dispersion Operator for Geometric Semantic Genetic Programming | Luiz Otavio V. B. Oliveira (UFMG)
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GP | The Impact of Hyperselection on Lexicase Selection | Thomas Helmuth (Washington and Lee University)
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GP | Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation | Qi Chen (Victoria University of Wellington)
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GP | Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic | Libin Hong (University of Nottingham) |
GP | A New Wave: A Dynamic Approach to Genetic Programming | David Medernach (BDS Group CSIS Department University of Limerick Ireland)
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GP | Managing Repetition in Grammar-Based Genetic Programming | Miguel Nicolau (University College Dublin)
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GP | Epsilon-lexicase Selection for Regression | William La Cava (University of Massachusetts Amherst)
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GP | Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network | Ting Hu (Memorial University)
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GP | Discovering Rubik's Cube Subgroups using Coevolutionary GP - A Five Twist Experiment | Robert Smith (Dalhousie University)
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GP | Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming | Marcin Szubert (University of Vermont)
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GP | Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming | Paweł Liskowski (Institute of Computing Science Poznan University of Technology)
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GP | Evolving Algebraic Constructions for Designing Bent Boolean Functions | Stjepan Picek (KU Leuven, Belgium)
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IGEC | Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming using Linear Genetic Programming | Léo Françoso Dal Piccol Sotto (Universidade Federal de São Paulo)
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PES | Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms | Eric O. Scott (George Mason University)
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PES | Hardware-Accelerated Parallel Genetic Algorithm for Fitness Functions with Variable Execution Times | yunfeng ma (University of York)
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PES | Performance for the masses: Experiments with A Web Based Architecture to Harness Volunteer Resources for Low Cost Distributed Evolutionary Computation | Juan Julián Merelo Guervós (U. Granada)
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PES | The Seamless Peer And Cloud Evolution Framework | Guillaume Leclerc (École Polytechnique Fédérale de Lausanne)
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RWA | A Sparse Recurrent Neural Network for Trajectory Prediction of Atlantic Hurricanes | Mina Moradi Kordmahalleh (North Carolina A&T State University)
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RWA | A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives | Sam Alexander Cramer (University of Kent)
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RWA | Evolutionary design of fast high-quality hash functions for network applications | David Grochol (FIT BUT Czech Republic)
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RWA | Planning Habitat Restoration with Genetic Algorithms | Jana Brotankova (James Cook University)
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RWA | New bounds for Office Space Allocation using Tabu Search | Castillo Francisco (Universidad Técnica Federico Santa María)
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RWA | Evolutionary Multiobjective Optimization of Winglets | Mateus Augusto Malta Teixeira (Department of Mechanical Engineering Duke University)
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RWA | Tackling the IFP Problem with the Preference-Based Genetic Algorithm | Sune Steinbjorn Nielsen (University of Luxembourg)
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RWA | Evolutionary Feature Subset Selection based on Compression-based Entropy Estimation | Pavel Krömer (VSB-TU Ostrava)
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RWA | Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing | Nasser R. Sabar (RMIT University Australia)
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RWA | Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search | Yunhai Wang (Shandong University)
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RWA | Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties | Zhichao Lu (Michigan State University)
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RWA | Fine Tuning of the Traffic in our Cities with Smart Panels: The Quito City Case Study | Daniel H. Stolfi (University of Malaga)
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RWA | A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning | Marcio da Silva Arantes (ICMC/USP)
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RWA | Benchmarks for the coal processing and blending problem | Sven Schellenberg (RMIT University)
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RWA | Evolutionary Learning of Schedulers for Heterogeneous Networks using Evaluative and Instructive Feedback | David Lynch (University College Dublin)
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RWA | A Real World Multi-UAV Evolutionary Planner for Minimum Time Target Detection | Sara Perez-Carabaza (Universidad Complutense de Madrid)
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RWA | Measuring Source Code Similarity by Finding Similar Subgraph with an Incremental Genetic Algorithm | Jinhyun Kim (Seoul National University)
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RWA | Improving File Compression Using Evolved Cellular Automata | Annie S. Wu (University of Central Florida)
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RWA | Grammatical Evolutionary Techniques for Prompt Migraine Prediction | Josué Pagán (Complutense University of Madrid)
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RWA | Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis | Maren Urselmann (TU Dortmund University Chair of Process Dynamics and Operations)
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RWA | A Rule-based Pattern Search with a Genetic Algorithm | Myoung Hoon Ha (School of Computer Science & Engineering Seoul National University)
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RWA | Finding interactions or relationships between customer orders for building better batches by means of an estimation of distribution algorithm-based approach for the online order batching problem | Ricardo Pérez-Rodríguez (CIMATAC)
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RWA | Neuroevolution of a Hybrid Power Plant Simulator | Shauharda Khadka (Oregon State University)
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RWA | Planning Inspection Paths through Evolutionary Multi-objective Optimization | Kai Olav Ellefsen (SENAI CIMATEC)
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RWA | Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System | Mitchell Colby (Oregon State University)
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RWA | Fast and effective optimisation of arrays of submerged wave energy converters | Junhua Wu (University of Adelaide)
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SBSE | Test Case Prioritization of Configurable Cyber-Physical Systems with Weight-Based Search Algorithms | Aitor Arrieta (Mon |
SBSE | A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem | Kevin Sim (Edinburgh Napier University)
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SBSE | A Search-based Training Algorithm for Cost-aware Defect Prediction | Annibale Panichella (Delft University of Technology)
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SBSE | Grammatical Evolution for the Multi-Objective Integration and Test Order Problem | Thainá Mariani (Federal University of Parana)
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SBSE | Search-Based Cost-Effective Test Case Selection for Manual Execution within Time Budget: An Empirical Study | Dipesh Pradhan (Simula Research Laboratory)
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SBSE | Learning Overtime Dynamics Through Multiobjective Optimization | Márcio de Oliveira Barros (Federal University of the State of Rio de Janeiro)
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THEORY | The (1+1) Elitist Black-Box Complexity of LeadingOnes is $\Theta(n^2)$ | Carola Doerr (CNRS and UPMC Paris)
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THEORY | When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys | Pietro S. Oliveto (University of Sheffield)
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THEORY | EDAs cannot be Balanced and Stable | Tobias Friedrich (Hasso Plattner Institute)
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THEORY | The Impact of Migration Topology on the Runtime of Island Models in Dynamic Optimization | Andei Lissovoi (Technical University of Denmark)
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THEORY | The Right Mutation Strength for Multi-Valued Decision Variables | Benjamin Doerr (Ecole Polytechnique)
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THEORY | Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms | Marie-Liesse Cauwet (INRIA)
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THEORY | Optimal Parameter Settings for the (1+(lambdalambda)) Genetic Algorithm | Benjamin Doerr (Ecole Polytechnique) |
THEORY | Optimal Mutation Rates for the (1+λ) EA on OneMax | Christian Gießen (Technical University of Denmark)
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THEORY | Optimal Parameter Choices via Precise Black-Box Analysis | Benjamin Doerr (Ecole Polytechnique France)
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