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ORCID23rd EvoApplications 2020: Online event [Seville, Spain]
- Pedro A. Castillo
, Juan Luis Jiménez Laredo, Francisco Fernández de Vega:
Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings. Lecture Notes in Computer Science 12104, Springer 2020, ISBN 978-3-030-43721-3
Applications of Evolutionary Computation
- Ferrante Neri, Shahin Rostami:
A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation. 3-19 - Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo:
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. 20-36 - Takahiro Ishihara, Steffen Limmer:
Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed up Electric Vehicle Charging Control. 37-53 - Paloma de las Cuevas, Pablo García-Sánchez, Zaineb Chelly Dagdia, María Isabel García Arenas, Juan Julián Merelo Guervós:
Automatic Rule Extraction from Access Rules Using Genetic Programming. 54-69 - Gabriela Ochoa, Katherine M. Malan, Christian Blum:
Search Trajectory Networks of Population-Based Algorithms in Continuous Spaces. 70-85 - Karine Miras, Matteo De Carlo, Sayfeddine Akhatou, A. E. Eiben:
Evolving-Controllers Versus Learning-Controllers for Morphologically Evolvable Robots. 86-99 - Alessandro Cacco, Giovanni Iacca:
Simulation-Driven Multi-objective Evolution for Traffic Light Optimization. 100-116 - Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart:
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. 117-132 - Sidney Pontes-Filho, Pedro G. Lind, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo B. M. Mello, Ioanna Sandvig, Gunnar Tufte, Stefano Nichele:
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. 133-148 - Guang Peng, Katinka Wolter:
A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization. 149-164 - Pedro Henrique Narloch, Márcio Dorn:
Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction. 165-180 - Muhammad Shabbir Abbasi, Harith Al-Sahaf, Ian Welch:
Particle Swarm Optimization: A Wrapper-Based Feature Selection Method for Ransomware Detection and Classification. 181-196 - Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós, Carlos M. Fernandes, Eric Sanlaville:
A Method for Estimating the Computational Complexity of Multimodal Functions. 197-211 - João Macedo, Lino Marques, Ernesto Costa:
Locating Odour Sources with Geometric Syntactic Genetic Programming. 212-227 - João Correia, Fernando Ferreira:
Designing Cable-Stayed Bridges with Genetic Algorithms. 228-243 - Thomas Bauschert, Varun S. Reddy:
A Fast, Scalable Meta-Heuristic for Network Slicing Under Traffic Uncertainty. 244-259 - Karlo Knezevic, Stjepan Picek, Domagoj Jakobovic, Julio C. Hernandez-Castro:
What Is Your MOVE: Modeling Adversarial Network Environments. 260-275 - Rodrigo Moreno, Andrés Faiña:
Using Evolution to Design Modular Robots: An Empirical Approach to Select Module Designs. 276-290 - Houssem E. Ben-Smida, Francisco Chicano, Saoussen Krichen:
Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem. 291-304
Applications of Bio-inspired Techniques on Social Networks
- Krzysztof Michalak:
Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases. 307-322 - Clara Pizzuti, Annalisa Socievole:
Community Detection in Attributed Graphs with Differential Evolution. 323-335
Applications of Deep Bioinspired Algorithms
- Maria Laura Previti, Víctor Rodríguez-Fernández, David Camacho, Vincenza Carchiolo, Michele Malgeri:
Fake News Detection Using Time Series and User Features Classification. 339-353 - Nam Le, Anthony Brabazon, Michael O'Neill:
Social Learning vs Self-teaching in a Multi-agent Neural Network System. 354-368 - Ahmed Hallawa, Simon Schug, Giovanni Iacca, Gerd Ascheid:
Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution. 369-383 - Mohammed Baraq Mushtaq, Tobias Rodemann:
Adversarial Optimization Approach for Development of Robust Controllers. 384-399
Soft Computing Applied to Games
- Raúl Montoliu, Raluca D. Gaina, Diego Pérez-Liébana, Daniel Delgado, Simon M. Lucas:
Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game. 403-418 - Alberto Mateos Rama, Víctor Rodríguez-Fernández, David Camacho:
Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models. 419-430 - Alberto Alvarez, José M. Font:
Learning the Designer's Preferences to Drive Evolution. 431-445 - Ariel Eduardo Vázquez-Núñez, Antonio José Fernández Leiva, Pablo García-Sánchez, Antonio Miguel Mora:
Testing Hybrid Computational Intelligence Algorithms for General Game Playing. 446-460
Evolutionary Computation in Digital Healthcare and Personalized Medicine
- Filip Kuklis, Marta Jaros, Jirí Jaros:
Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy. 463-478 - Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Using Genetic Algorithms for the Prediction of Cognitive Impairments. 479-493 - Sergio Contador, J. Manuel Colmenar, Oscar Garnica, José Ignacio Hidalgo:
Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution. 494-509
Evolutionary Machine Learning
- Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa, Leonardo Vanneschi:
A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. 513-529 - Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. 530-545 - Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. 546-561 - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Using Skill Rating as Fitness on the Evolution of GANs. 562-577 - Ferrante Neri, Isaac Triguero:
A Local Search with a Surrogate Assisted Option for Instance Reduction. 578-594 - Paulo Fernandes, João Correia, Penousal Machado:
Evolutionary Latent Space Exploration of Generative Adversarial Networks. 595-609 - AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell:
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. 610-625 - AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. 626-641
Parallel and Distributed Systems
- Vinícius Veloso de Melo, Álvaro Luiz Fazenda, Léo Françoso Dal Piccol Sotto, Giovanni Iacca:
A MIMD Interpreter for Genetic Programming. 645-658 - Rudolf Lovrencic, Domagoj Jakobovic, Dejan Skvorc, Stjepan Gros:
Security Risk Optimization for Multi-cloud Applications. 659-669 - Ernesto Serrano Collado, Pedro A. Castillo, Juan Julián Merelo Guervós:
Using Evolutionary Algorithms for Server Hardening via the Moving Target Defense Technique. 670-685 - Erick Minguela, José Mario García Valdez, Juan Julián Merelo Guervós:
An Event-Based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms. 686-701
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