Applications of Evolutionary Computation (General session)
- A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation
Ferrante Neri and Shahin Rostami - EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python
Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah and Pedro A. Castillo (recorded presentation) - Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control
Takahiro Ishihara and Steffen Limmer - Automatic rule extraction from access rules using Genetic Programming
Paloma de Las Cuevas, Pablo García Sánchez, JJ Merelo, Zaineb Chelly Dagdia and María Isabel García Arenas - Search Trajectory Networks of Population-based Algorithms in Continuous Spaces
Gabriela Ochoa, Katherine M. Malan and Christian Blum - Evolving-controllers versus learning-controllers for morphologically evolvable robots
Karine Miras, A.E Eiben, Matteo de Carlo and Sayfeddine Akhatou - Simulation-driven multi-objective evolution for traffic light optimization
Alessandro Cacco and Giovanni Iacca - Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites
Kehinde O. Babaagba, Zhiyuan Tan and Emma Hart - EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality
Sidney Pontes-Filho, Pedro Lind, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo Mello, Ioanna Sandvig, Gunnar Tufte and Stefano Nichele - A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization
Guang Peng and Katinka Wolter - Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction
Pedro Henrique Narloch and Márcio Dorn - Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification
Muhammad Shabbir Abbasi, Harith Al-Sahaf and Ian Welch - A method for estimating the computational complexity of multimodal functions
Juan Luis Jiménez Laredo, Eric Sanlaville, Carlos M. Fernandes and JJ Merelo - Locating Odour Sources with Geometric Syntactic Genetic Programming
João Macedo, Lino Marques and Ernesto Costa - Designing cable-stayed bridges with Genetic Algorithms
João Correia and Fernando Ferreira - A fast, scalable meta-heuristic for network slicing under traffic uncertainty
Thomas Bauschert and Varun S. Reddy - What is Your MOVE: Modeling Adversarial Network Environments
Karlo Knezevic, Stjepan Picek, Domagoj Jakobovic and Julio Hernandez-Castro - Using evolution to design modular robots: An empirical approach to select module designs
Rodrigo Moreno and Andres Faina - Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem
Houssem Eddine Ben Smida, José Francisco Chicano García and Saoussen Krichen
Applications of Deep Bioinspired Algorithms
- Fake news detection using time series and user features classification
Marialaura Previti, Víctor Rodríguez Fernández, David Camacho, Vincenza Carchiolo and Michele Malgeri (recorded presentation) - Social Learning vs Self-teaching in a Multi-agent Neural Network System
Nam Le, Michael O’Neill and Anthony Brabazon - Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution
Ahmed Hallawa, Simon Schug, Giovanni Iacca and Gerd Ascheid (recorded presentation) - An Adversarial Optimization Approach for the Development of Robust Controllers
Mohammed Baraq Mushtaq and Tobias Rodemann (recorded presentation)
BioSocNet – Applications of Bio-inspired techniques on Social Networks
- Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases
Krzysztof Michalak - Community Detection in Attributed Graphs with Differential Evolution
Clara Pizzuti and Annalisa Socievole
Distributed and Parallel Systems
- A MIMD interpreter for Genetic Programming
Vinícius Veloso de Melo, Álvaro Luiz Fazenda, Léo Françoso Dal Piccol Sotto and Giovanni Iacca - Security Risk Optimization for Multi-Cloud Applications
Rudolf Lovrenčić, Domagoj Jakobović, Dejan Škvorc and Stjepan Groš - Using evolutionary algorithms for server hardening via the moving target defense technique
Ernesto Serrano Collado and JJ Merelo - An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms
Erick Vargas, Mario Garcia Valdez and JJ Merelo
Evolutionary Computation in Digital Healthcare and Personalized Medicine
- Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy
Filip Kuklis, Marta Jaros and Jiri Jaros - Using Genetic Algorithms for the prediction of cognitive impairments
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella and Alessandra Scotto di Freca - Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution
Sergio Contador, J. Manuel Colmenar, Oscar Garnica and J. Ignacio Hidalgo
Evolutionary Machine Learning
- A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks
Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa and Leonardo Vanneschi (recorded presentation) - Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro and Penousal Machado (recorded presentation) - An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution
Travis Desell, Abdelrahman Elsaid and Alexander Ororbia - Using Skill Rating as Fitness on the Evolution of GANs
Victor Costa, Nuno Lourenço, João Correia and Penousal Machado - A Local Search with a Surrogate Assisted Option for Instance Reduction
Ferrante Neri and Isaac Triguero Velázquez (recorded presentation) - Evolutionary Latent Space Exploration of Generative Adversarial Networks
João Correia, Paulo Fernandes and Penousal Machado (recorded presentation) - Neuro-Evolutionary Transfer Learning through Structural Adaptation
Abdelrahman Elsaid, Joshua Karns, Zimeng Lyu, Daniel Krutz, Alex Ororbia and Travis Desell - Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks
Abdelrahman Elsaid, Alexander Ororbia and Travis Desell
Soft Computing applied to Games
- Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game
Raul Montoliu, Raluca D. Gaina, Diego Perez-Liebana, Daniel Delgado and Simon Lucas (recorded presentation) - Finding behavioural patterns among League of Legends players through Hidden Markov Models
Alberto Mateos Rama, Victor Rodriguez-Fernandez and David Camacho - Learning the Designer’s Preferences to Drive Evolution
Alberto Alvarez and Jose Font (recorded presentation) - Testing hybrid computational intelligence algorithms for general game playing
Ariel Eduardo Vázquez Nuñez, Antonio J. Fernández Leiva, Antonio Mora and Pablo García Sánchez