{"id":1181,"date":"2020-04-11T10:29:32","date_gmt":"2020-04-11T08:29:32","guid":{"rendered":"http:\/\/www.evostar.org\/2020\/?page_id=1181"},"modified":"2021-01-16T00:47:04","modified_gmt":"2021-01-15T23:47:04","slug":"evoapps-accepted-papers","status":"publish","type":"page","link":"http:\/\/www.evostar.org\/2020\/evoapps-accepted-papers\/","title":{"rendered":"EvoAPPS Accepted Papers"},"content":{"rendered":"\n<p><strong>Applications of Evolutionary Computation (General session)<\/strong><\/p>\n<ul>\n   <li> A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation<br>Ferrante Neri and Shahin Rostami<\/li>\n   <li> EvoCluster: An Open-Source Nature-Inspired Optimization  Clustering Framework in Python<br>Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah and Pedro A. Castillo (<a href=\"https:\/\/youtu.be\/W7RVisLNhyE\">recorded presentation<\/a>)<\/li>\n   <li> Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control<br>Takahiro Ishihara and Steffen Limmer<\/li>\n   <li> Automatic rule extraction from access rules using Genetic Programming<br>Paloma de Las Cuevas, Pablo Garc\u00eda S\u00e1nchez, JJ Merelo, Zaineb Chelly Dagdia and Mar\u00eda Isabel Garc\u00eda Arenas<\/li>\n   <li> Search Trajectory Networks of Population-based Algorithms in Continuous Spaces<br>Gabriela Ochoa, Katherine M. Malan and Christian Blum<\/li>\n   <li> Evolving-controllers versus learning-controllers for morphologically evolvable robots<br>Karine Miras, A.E Eiben, Matteo de Carlo and Sayfeddine Akhatou<\/li>\n   <li> Simulation-driven multi-objective evolution for traffic light optimization<br>Alessandro Cacco and Giovanni Iacca<\/li>\n   <li> Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites<br>Kehinde O. Babaagba, Zhiyuan Tan and Emma Hart<\/li>\n   <li> EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality<br>Sidney Pontes-Filho, Pedro Lind, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo Mello, Ioanna Sandvig, Gunnar Tufte and Stefano Nichele<\/li>\n   <li> A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization<br>Guang Peng and Katinka Wolter<\/li>\n   <li> Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction<br>Pedro Henrique Narloch and M\u00e1rcio Dorn<\/li>\n   <li> Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification<br>Muhammad Shabbir Abbasi, Harith Al-Sahaf and Ian Welch<\/li>\n   <li> A method for estimating the computational complexity of multimodal functions<br>Juan Luis Jim\u00e9nez Laredo, Eric Sanlaville, Carlos M. Fernandes and JJ Merelo<\/li>\n   <li> Locating Odour Sources with Geometric Syntactic Genetic Programming<br>Jo\u00e3o Macedo, Lino Marques and Ernesto Costa<\/li>\n   <li> Designing cable-stayed bridges with Genetic Algorithms<br>Jo\u00e3o Correia and Fernando Ferreira<\/li>\n   <li> A fast, scalable meta-heuristic for network slicing under traffic uncertainty<br>Thomas Bauschert and Varun S. Reddy<\/li>\n   <li> What is Your MOVE: Modeling Adversarial Network Environments<br>Karlo Knezevic, Stjepan Picek, Domagoj Jakobovic and Julio Hernandez-Castro<\/li>\n   <li> Using evolution to design modular robots: An empirical approach to select module designs<br>Rodrigo Moreno and Andres Faina<\/li>\n   <li> Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem<br>Houssem Eddine Ben Smida, Jos\u00e9 Francisco Chicano Garc\u00eda and Saoussen Krichen<\/li>\n<\/ul>\n\n\n\n<p><strong>Applications of Deep Bioinspired Algorithms<\/strong><br> <\/p>\n\n\n\n<ul><li> Fake news detection using time series and user features classification<br> Marialaura Previti, V\u00edctor Rodr\u00edguez Fern\u00e1ndez, David Camacho, Vincenza Carchiolo and Michele Malgeri (<a href=\"https:\/\/youtu.be\/Ec_z6iJsrW8\">recorded presentation<\/a>)<\/li><li> Social Learning vs Self-teaching in a Multi-agent Neural Network System<br> Nam Le, Michael O&#8217;Neill and Anthony Brabazon<\/li><li>Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution<br>Ahmed Hallawa, Simon Schug, Giovanni Iacca and Gerd Ascheid (<a href=\"https:\/\/youtu.be\/ABy01VKXWME\">recorded presentation<\/a>)<\/li><li> An Adversarial Optimization Approach for the Development of Robust Controllers<br> Mohammed Baraq Mushtaq and Tobias Rodemann (<a href=\"https:\/\/youtu.be\/F5BBeqMet0M\">recorded presentation<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>BioSocNet \u2013 Applications of Bio-inspired techniques on Social Networks<\/strong><\/p>\n<ul>\n   <li> Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases<br>Krzysztof Michalak<\/li>\n   <li> Community Detection in Attributed Graphs with Differential Evolution<br>Clara Pizzuti and Annalisa Socievole<\/li>\n<\/ul>\n\n<p><strong>Distributed and Parallel Systems<\/strong><\/p>\n<ul>\n   <li> A MIMD interpreter for Genetic Programming<br>Vin\u00edcius Veloso de Melo, \u00c1lvaro Luiz Fazenda, L\u00e9o Fran\u00e7oso Dal Piccol Sotto and Giovanni Iacca<\/li>\n   <li> Security Risk Optimization for Multi-Cloud Applications<br>Rudolf Lovren\u010di\u0107, Domagoj Jakobovi\u0107, Dejan \u0160kvorc and Stjepan Gro\u0161<\/li>\n   <li> Using evolutionary algorithms for server hardening via the moving target defense technique<br>Ernesto Serrano Collado and JJ Merelo<\/li>\n   <li> An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms<br>Erick Vargas, Mario Garcia Valdez and JJ Merelo<\/li>\n<\/ul>\n\n<p><strong>Evolutionary Computation in Digital Healthcare and Personalized Medicine<\/strong><\/p>\n<ul>\n   <li> Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy<br>Filip Kuklis, Marta Jaros and Jiri Jaros<\/li>\n   <li> Using Genetic Algorithms for the prediction of cognitive impairments<br>Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella and Alessandra Scotto di Freca<\/li>\n   <li> Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution<br>Sergio Contador, J. Manuel Colmenar, Oscar Garnica and J. Ignacio Hidalgo<\/li>\n<\/ul>\n\n<p><strong>Evolutionary Machine Learning<\/strong><\/p>\n<ul>\n   <li> A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks<br>Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa and Leonardo Vanneschi (<a href=\"https:\/\/youtu.be\/yDrqNaQ7cGg\">recorded presentation<\/a>)<\/li>\n   <li> Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution<br>Filipe Assun\u00e7\u00e3o, Nuno Louren\u00e7o, Bernardete Ribeiro and Penousal Machado (<a href=\"https:\/\/youtu.be\/ZXG4MohPDXQ\">recorded presentation<\/a>)<\/li>\n   <li> An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution<br>Travis Desell, Abdelrahman Elsaid and Alexander Ororbia<\/li>\n   <li> Using Skill Rating as Fitness on the Evolution of GANs<br>Victor Costa, Nuno Louren\u00e7o, Jo\u00e3o Correia and Penousal Machado<\/li>\n   <li> A Local Search with a Surrogate Assisted Option for Instance Reduction<br>Ferrante Neri and Isaac Triguero Vel\u00e1zquez (<a href=\"https:\/\/youtu.be\/3wPmaqTlLaM\">recorded presentation<\/a>)<\/li>\n   <li> Evolutionary Latent Space Exploration of Generative Adversarial Networks<br>Jo\u00e3o Correia, Paulo Fernandes and Penousal Machado (<a href=\"https:\/\/youtu.be\/3QsNuqlxyrc\">recorded presentation<\/a>)<\/li>\n   <li> Neuro-Evolutionary Transfer Learning through Structural Adaptation<br>Abdelrahman Elsaid, Joshua Karns, Zimeng Lyu, Daniel Krutz, Alex Ororbia and Travis Desell<\/li>\n   <li> Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks<br>Abdelrahman Elsaid, Alexander Ororbia and Travis Desell<\/li>\n<\/ul>\n\n<p><strong>Soft Computing applied to Games<\/strong><\/p>\n<ul>\n   <li> Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game<br>Raul Montoliu, Raluca D. Gaina, Diego Perez-Liebana, Daniel Delgado and Simon Lucas (<a href=\"https:\/\/youtu.be\/qkePzSSA9gY\">recorded presentation<\/a>)<\/li>\n   <li> Finding behavioural patterns among League of Legends players through Hidden Markov Models<br>Alberto Mateos Rama, Victor Rodriguez-Fernandez and David Camacho<\/li>\n   <li> Learning the Designer\u2019s Preferences to Drive Evolution<br>Alberto Alvarez and Jose Font (<a href=\"https:\/\/youtu.be\/iISJbNCmZME\">recorded presentation<\/a>)<\/li>\n   <li> Testing hybrid computational intelligence algorithms for general game playing<br>Ariel Eduardo V\u00e1zquez Nu\u00f1ez, Antonio J. Fern\u00e1ndez Leiva, Antonio Mora and Pablo Garc\u00eda S\u00e1nchez<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Applications of Evolutionary Computation (General session) A Local Search for Numerical Optimisation based on Covariance Matrix DiagonalisationFerrante Neri and Shahin Rostami EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in PythonRaneem 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 [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/1181"}],"collection":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/comments?post=1181"}],"version-history":[{"count":13,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/1181\/revisions"}],"predecessor-version":[{"id":1373,"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/pages\/1181\/revisions\/1373"}],"wp:attachment":[{"href":"http:\/\/www.evostar.org\/2020\/wp-json\/wp\/v2\/media?parent=1181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}