Long Talks
- An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles
Steffen Limmer, Johannes Varga and Günther Raidl - The Specialized Threat Evaluation and Weapon Target Assignment Problem: Genetic Algorithm Optimization and ILP Model Solution
Ahmet Burak Baraklı, Fatih Semiz and Emre Atasoy - Improving the size and quality of MAP-Elites containers via multiple emitters and decoders for urban logistics
Neil Urquhart and Emma Hart - A fitness landscape analysis approach for reinforcement learning in the control of the coupled inverted pendulum task
Ferrante Neri and Alexander Turner - To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features
Diederick Vermetten, Hao Wang, Kevin Sim and Emma Hart - Local Optima Networks for Seismic History Matching Problems
Paul Mitchell, Gabriela Ochoa, Yuri Lavinas and Romain Chassagne - Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems
Iman Rahimi, Amir H Gandomi, Mohammad Reza Nikoo and Fang Chen - Frequency Fitness Assignment on JSSP: a critical review
Ege de Bruin, Sarah L. Thomson and Daan van den Berg - Tomographic Reconstruction Enhancement with Search Space Expansion
Mohammad Majid Al-Rifaie and Tim Blackwell - Multi-Agent VS Classic System of an electricity mix production optimization
Solofohanitra Rahamefy Andriamalala, Toky Axel Andriamizakason and Rasoanaivo Andry - A collection of robotics problems for benchmarking evolutionary computation methods
Jakub Kudela, Martin Juricek and Roman Parak - Energy-Aware Dynamic Resource Allocation in Container-based Clouds via Cooperative Coevolution Genetic Programming
Chen Wang, Hui Ma, Gang Chen, Guiying Huang, Yongbo Yu and Kameron Christopher - A surrogate function in cGA for the traffic light scheduling problem
Andrea Villagra and Gabriel Luque - Using Genetic Programming to learn behavioral models of Lithium Batteries
Francesco Fontanella, Claudio De Stefano, Giulia Di Capua, Nunzio Oliva, Carmine Bourelly, Mario Molinara, Francesco Porpora and Filippo Milano - Further investigations on the characteristics of neural network based opinion selection mechanisms for robotics swarms
Ahmed Almansoori, Muhanad Alkilabi and Elio Tuci - A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms
Kirsty Montague, Emma Hart, Ben Paechter and Geoff Nitschke - A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling
Amer Saeed, Gang Chen, Hui Ma and Qiang Fu - AMTEA-based Multi-task Optimisation for Multi-objective Feature Selection in Classification (EML joint track)
Jiabin Lin, Qi Chen, Bing Xue and Mengjie Zhang - Evolutionary based Transfer Learning Approach to Improving Classification of Metamorphic Malware
Kehinde Babaagba and Mayowa Ayodele - Multi-Objective Location-Aware Service Brokering in Multi-Cloud – A GPHH Approach with Transfer Learning
Yuheng Chen, Tao Shi, Hui Ma and Aaron Chen - An intelligent optimised estimation of the hydraulic jump roller length
Antonio Agresta, Chiara Biscarini, Fabio Caraffini and Valentino Santucci - BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances
Fu Xing Long, Diederick Vermetten, Bas van Stein and Anna Kononova - Evolving lightweight intrusion detection systems for attacks in RPL-based Internet of Things
Ali Deveci, Selim Yılmaz and Sevil Şen - Under the Hood of Transfer Learning for Deep Neuroevolution (EML joint track)
Stefano Sarti, Nuno Lourenço, Jason Adair, Penousal Machado and Gabriela Ochoa - Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
Feijoo Colomine, Carlos Cotta and Antonio J. Fernández Leiva - A framework for estimating the operational risk of lethal wilt in oil palm crops based on multispectral image classification
Alejandro Peña, Puerta Alejandro, Isis Bonet, Fabio Caraffini, Mario Gongora and Ivan Ochoa - Multi-Objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction
David Rojas-Velazquez, Alberto Tonda, Itzel Rodriguez-Guerra, Aletta D. Kraneveld and Alejandro Lopez Rincon - Development of an energy management support system for microgrids using artificial intelligence
Puerta Alejandro, Santiago Horacio Hoyos, Isis Bonet and Fabbio Caraffini - Genetic programming and co-evolution to play the Bomberman videogame
Robert Gold, Henrique Branquinho and Pablo García Sánchez - Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning
John Rego Hamilton, Aniko Ekart and Alina Patelli - Feature Selection on Epistatic Problems using Genetic Algorithms with Nested Classifiers (EML joint track)
Pedro Carvalho, Bruno Ribeiro, Nuno Rodrigues, João Batista, Sara Silva and Leonardo Vanneschi - On the Evolution of Boomerang Uniformity in Cryptographic S-boxes
Marko Đurasević, Domagoj Jakobovic, Luca Mariot, Sihem Mesnager and Stjepan Picek - Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov and Carola Doerr - Toward Constructing a Diverse Suite of Multi-Objective Optimization Problems
Andrejaana Andova, Tobias Benecke, Harald Ludwig and Tea Tušar - Interactive Stage-wise Optimisation of Personalised Medicine Supply Chains
Andreea Avramescu, Manuel López-Ibáñez and Richard Allmendinger - RF+clust for Leave-One-Problem-Out Performance Prediction
Ana Nikolikj, Carola Doerr and Tome Eftimov - Evolving Non-cryptographic Hash Functions using Genetic Programming for High-speed Lookups in Network Security Applications
Mujtaba Hassan, Arish Sateesan, Jo Vliegen, Stjepan Picek and Nele Mentens - Use of a Genetic Algorithm to Evolve the Parameters of an Iterated Function System in order to Create Adapted Phenotypic Structures
Habiba Akter, Rupert Young, Philip Birch and Chris Chatwin
Short Talks
- An Evolutionary Hyper-Heuristic for Airport Slot Allocation
David Melder, John Drake and Sha Wang - Evolving Neural Networks for Robotic Arm Control (EML joint track)
Anthony Horgan and Karl Mason - Deep Reinforcement Learning for 5 x 5 Multiplayer Go
Brahim Driss, Jérôme Arjonilla, Hui Wang, Abdallah Saffidine and Tristan Cazenave - A Multi-Brain approach for Multi-Tasking in evolvable robots
Ege de Bruin, Julian Hatzky, Babak Hosseinkhani Kargar and A.E. Eiben - Centroid-based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training (EML joint track)
Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer and Diego Oliva - Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions
Yutaro Yamada, Kento Uchida, Shota Saito and Shinichi Shirakawa - A Fitness-based Migration Policy for Biased Random-Key Genetic Algorithms
Mateus Boiani, Rafael Stubs Parpinelli and Marcio Dorn - A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
Kalthoum Karkazan, Haluk Topcuoglu and Shaaban Sahmoud - Grammar-Guided Evolution of the U-Net (EML joint track)
Mahsa Mahdinejad, Aidan Murphy, Michael Tetteh, Allan de Lima, Patrick Healy and Conor Ryan - Reducing the Price of Stable Bridges with CMA-ES
Gabriel Fernandes, Nuno Lourenço and João Correia - Explaining Recommender Systems by Evolutionary Interests Mix Modeling (EML joint track)
Piotr Lipinski - Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features
Raphael Patrick Prager and Heike Trautmann - A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms using the Principles of Severity
Sowmya Chandrasekaran and Thomas Bartz-Beielstein - Automatic Design of Telecom Networks with Genetic Algorithms
João Correia, Gustavo Gama and Nuno Lourenço