Long Talks
- A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killen, Keith C Gordon and Mengjie Zhang - A Machine Learning-Based Approach for Economics-Tailored Applications: The Spanish Case Study
Zakaria Abdelmoiz Dahi, Gabriel Luque and Enrique Alba - Co-evolution of Spies and Resistance Fighters
Johanna Lange, Mario Stanke and Marc Ebner - RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation
Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon Chakrabortty, Gerald Schaefer and Diego Oliva - EvoMCS: Optimising Energy and Throughput of Mission Critical Services
Miguel Arieiro and Bruno Sousa - Improving the Convergence and Diversity in Differential Evolution through a Stock Market Criterion
Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad and Marco Perez-Cisneros - The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization
Manuel López-Ibáñez, Francisco Chicano and Rodrigo Gil-Merino - Optimising Communication Overhead in Federated Learning Using NSGA-II
José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, José Francisco Chicano Garcia, Gabriel Luque Polo and Enrique Alba Torres - WebGE: an open-source tool for symbolic regression using Grammatical Evolution
José Manuel Colmenar, Raúl Martín Santamaría and J. Ignacio Hidalgo - EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
Anh T. Dang, Raneem Qaddoura, Ala M. Al-Zoubi, Hossam Faris and Pedro A. Castillo - Public-Private Partnership: Evolutionary Algorithms as a Solution to Informative Asymmetries
Simone Pellegrino, Massimo Rebuglio and Giovanni Squillero - Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies
Masahiro Nomura and Isao Ono - Combining the properties of Random Forest with Grammatical Evolution to construct ensemble models
Daniel Parra, Jose-Manuel Velasco, Alberto Gutiérrez, Oscar Garnica and J. Ignacio Hidalgo - Parameter Tuning for the (1 + (λ, λ)) Genetic Algorithm using Landscape Analysis and Machine Learning
Maxim Pikalov and Vladimir Mironovich - Negative Selection Algorithm for Alzheimer’s Diagnosis: Design and Performance Evaluation
Giuseppe De Gregorio, Antonio Della Cioppa and Angelo Marcelli - Neuroevolution Trajectory Networks of the Behaviour Space
Stefano Sarti, Jason Adair and Gabriela Ochoa - Swarm optimised few-view binary tomography
Mohammad Majid al-Rifaie and Tim Blackwell - Vectorial GP for Alzheimer’s Disease Prediction Through Handwriting Analysis
Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini and Leonardo Vanneschi - Ground-truth segmentation of the spinal cord from 3T MR images using evolutionary computation
Mohamed-Mounir El Mendili, Noémie Villard, Brice Tiret, Raphaël Chen, Damien Galanaud, Benoit Magnin, Stéphane Lehericy, Pierre-François Pradat, Evelyne Lutton and Salma Mesmoudi - Detecting Nested Structures Through Evolutionary Multi-Objective Clustering
Cristina Morimoto, Aurora Pozo and Marcilio De Souto - Multi-Objective Optimization of Extreme Learning Machine for Remaining Useful Life Prediction
Hyunho Mo and Giovanni Iacca - Evolution of Acoustic Logic Gates in Granular Metamaterials
Atoosa Parsa, Josh Bongard, Rebecca Kramer-Bottiglio, Corey O’Hern and Mark D. Shattuck - Search Trajectories Networks of Multi-objectiveEvolutionary Algorithms
Yuri Lavinas, Claus Aranha and Gabriela Ochoa - Multiobjective electric vehicle charging station locations in a city scale area: Malaga study case
Christian Cintrano and Jamal Toutouh - Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS
Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato and Keiki Takadama - Neuroevolution of Spiking Neural P Systems
Leonardo Lucio Custode, Hyunho Mo and Giovanni Iacca - Search-Based Third-Party Library Migration at the Method-Level
Niranjana Deshpande, Mohamed Wiem Mkaouer, Ali Ouni and Naveen Sharma - Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers
Rui Cardoso, Emma Hart, David Kurka and Jeremy Pitt - Brain programming and its resilience using a real-world database of a Snowy Plover shorebird
Roberto Pineda, Gustavo Olague, Gerardo Ibarra-Vazquez, Axel Martinez, Jonathan Vargas and Isnardo Reducindo - Seeking Specialization Through Novelty in Distributed Online Collective Robotics
Amine Boumaza - Integrating Safety Guarantees into the Learning Classifier System XCS
Tim Hansmeier and Marco Platzner - On the Difficulty of Evolving Permutation Codes
Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Đurasević and Alberto Leporati - Open-ended search for environments and adapted agents using MAP-Elites
Emma Stensby Norstein, Kai Olav Ellefsen and Kyrre Glette
Short Talks
- Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law
Massimo Fornasier, Timo Klock and Konstantin Riedl - Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling
Peter Lane, Na Helian, Muhammad Haad Bodla, Minghua Zheng and Paul Moggridge - Deep Catan
Brahim Driss and Tristan Cazenave - Automating Speedrun Routing: Overview and Vision
Matthias Groß, Dietlind Zühlke and Boris Naujoks - Resilient Bioinspired Algorithms: A Computer System Design Perspective
Carlos Cotta and Gustavo Olague - An Enhanced Opposition-based Evolutionary Feature Selection Approach
Pedro A. Castillo, Ruba Khurma, Ibrahim Aljarah and Khair Sabri - Explainable Landscape Analysis in Automated Algorithm Performance Prediction
Risto Trajnov, Stefan Dimeski, Martin Popovski, Peter Korošec and Tome Eftimov - Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization
Marco Baioletti, Alfredo Milani, Valentino Santucci and Marco Tomassini - A Methodology for Determining Ion Channels from Membrane Potential Neuronal Recordings
Juan Luis Jiménez Laredo, Loïs Naudin, Nathalie Corson and Carlos M. Fernandes - ANN-EMOA: Evolving Neural Networks Efficiently
Steven Künzel and Silja Meyer-Nieberg - Self-Adaptation of Neuroevolution Algorithms using Reinforcement Learning
Michael Kogan, Joshua Karns and Travis Desell - Evolving Data Augmentation Strategies
Sofia Pereira, João Correia and Penousal Machado - Out of Time: On the Constrains that Evolution in Hardware Faces when Evolving Modular Robots
Rodrigo Moreno and Andres Faiña