{"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":"2023-02-22T21:24:44","modified_gmt":"2023-02-22T20:24:44","slug":"evoapps-accepted-papers","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2023\/evoapps-accepted-papers\/","title":{"rendered":"EvoAPPS Accepted Papers"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Long Talks<\/h3>\n\n\n\n<ul><li>An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles<br><em>Steffen Limmer, Johannes Varga and G\u00fcnther Raidl<\/em><\/li><li>The Specialized Threat Evaluation and Weapon Target Assignment Problem: Genetic Algorithm Optimization and ILP Model Solution<br><em>Ahmet Burak Barakl\u0131, Fatih Semiz and Emre Atasoy<\/em><\/li><li>Improving the size and quality of MAP-Elites containers via multiple emitters and decoders for urban logistics<br><em>Neil Urquhart and Emma Hart<\/em><\/li><li>A fitness landscape analysis approach for reinforcement learning in the control of the coupled inverted pendulum task<br><em>Ferrante Neri and Alexander Turner<\/em><\/li><li>To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features<br><em>Diederick Vermetten, Hao Wang, Kevin Sim and Emma Hart<\/em><\/li><li>Local Optima Networks for Seismic History Matching Problems<br><em>Paul Mitchell, Gabriela Ochoa, Yuri Lavinas and Romain Chassagne<\/em><\/li><li>Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems<br><em>Iman Rahimi, Amir H Gandomi, Mohammad Reza Nikoo and Fang Chen<\/em><\/li><li>Frequency Fitness Assignment on JSSP: a critical review<br><em>Ege de Bruin, Sarah L. Thomson and Daan van den Berg<\/em><\/li><li>Tomographic Reconstruction Enhancement with Search Space Expansion<br><em>Mohammad Majid Al-Rifaie and Tim Blackwell<\/em><\/li><li>Multi-Agent VS Classic System of an electricity mix production optimization<br><em>Solofohanitra Rahamefy Andriamalala, Toky Axel Andriamizakason and Rasoanaivo Andry<\/em><\/li><li>A collection of robotics problems for benchmarking evolutionary computation methods<br><em>Jakub Kudela, Martin Juricek and Roman Parak<\/em><\/li><li>Energy-Aware Dynamic Resource Allocation in Container-based Clouds via Cooperative Coevolution Genetic Programming<br><em>Chen Wang, Hui Ma, Gang Chen, Guiying Huang, Yongbo Yu and Kameron Christopher<\/em><\/li><li>A surrogate function in cGA for the traffic light scheduling problem<br><em>Andrea Villagra and Gabriel Luque<\/em><\/li><li>Using Genetic Programming to learn behavioral models of Lithium Batteries<br><em>Francesco Fontanella, Claudio De Stefano, Giulia Di Capua, Nunzio Oliva, Carmine Bourelly, Mario Molinara, Francesco Porpora and Filippo Milano<\/em><\/li><li>Further investigations on the characteristics of neural network based opinion selection mechanisms for robotics swarms<br><em>Ahmed Almansoori, Muhanad Alkilabi and Elio Tuci<\/em><\/li><li>A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms<br><em>Kirsty Montague, Emma Hart, Ben Paechter and Geoff Nitschke<\/em><\/li><li>A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling<br><em>Amer Saeed, Gang Chen, Hui Ma and Qiang Fu<\/em><\/li><li>AMTEA-based Multi-task Optimisation for Multi-objective Feature Selection in Classification <strong>(EML joint track)<\/strong><br><em>Jiabin Lin, Qi Chen, Bing Xue and Mengjie Zhang<\/em><\/li><li>Evolutionary based Transfer Learning Approach to Improving Classification of Metamorphic Malware<br><em>Kehinde Babaagba and Mayowa Ayodele<\/em><\/li><li>Multi-Objective Location-Aware Service Brokering in Multi-Cloud &#8211; A GPHH Approach with Transfer Learning<br><em>Yuheng Chen, Tao Shi, Hui Ma and Aaron Chen<\/em><\/li><li>An intelligent optimised estimation of the hydraulic jump roller length<br><em>Antonio Agresta, Chiara Biscarini, Fabio Caraffini and Valentino Santucci<\/em><\/li><li>BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances<br><em>Fu Xing Long, Diederick Vermetten, Bas van Stein and Anna Kononova<\/em><\/li><li>Evolving lightweight intrusion detection systems for attacks in RPL-based Internet of Things<br><em>Ali Deveci, Selim Y\u0131lmaz and Sevil \u015een<\/em><\/li><li>Under the Hood of Transfer Learning for Deep Neuroevolution <strong>(EML joint track)<\/strong><br><em>Stefano Sarti, Nuno Louren\u00e7o, Jason Adair, Penousal Machado and Gabriela Ochoa<\/em><\/li><li>Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization<br><em>Feijoo Colomine, Carlos Cotta and Antonio J. Fern\u00e1ndez Leiva<\/em><\/li><li>A framework for estimating the operational risk of lethal wilt in oil palm crops based on multispectral image classification<br><em>Alejandro Pe\u00f1a, Puerta Alejandro, Isis Bonet, Fabio Caraffini, Mario Gongora and Ivan Ochoa<\/em><\/li><li>Multi-Objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction<br><em>David Rojas-Velazquez, Alberto Tonda, Itzel Rodriguez-Guerra, Aletta D. Kraneveld and Alejandro Lopez Rincon<\/em><\/li><li>Development of an energy management support system for microgrids using artificial intelligence<br><em>Puerta Alejandro, Santiago Horacio Hoyos, Isis Bonet and Fabbio Caraffini<\/em><\/li><li>Genetic programming and co-evolution to play the Bomberman videogame<br><em>Robert Gold, Henrique Branquinho and Pablo Garc\u00eda S\u00e1nchez<\/em><\/li><li>Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning<br><em>John Rego Hamilton, Aniko Ekart and Alina Patelli<\/em><\/li><li>Feature Selection on Epistatic Problems using Genetic Algorithms with Nested Classifiers <strong>(EML joint track)<\/strong><br><em>Pedro Carvalho, Bruno Ribeiro, Nuno Rodrigues, Jo\u00e3o Batista, Sara Silva and Leonardo Vanneschi<\/em><\/li><li>On the Evolution of Boomerang Uniformity in Cryptographic S-boxes<br><em>Marko \u0110urasevi\u0107, Domagoj Jakobovic, Luca Mariot, Sihem Mesnager and Stjepan Picek<\/em><\/li><li>Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms<br><em>Ana Kostovska, Diederick Vermetten, Sa\u0161o D\u017eeroski, Pan\u010de Panov, Tome Eftimov and Carola Doerr<\/em><\/li><li>Toward Constructing a Diverse Suite of Multi-Objective Optimization Problems<br><em>Andrejaana Andova, Tobias Benecke, Harald Ludwig and Tea Tu\u0161ar<\/em><\/li><li>Interactive Stage-wise Optimisation of Personalised Medicine Supply Chains<br><em>Andreea Avramescu, Manuel L\u00f3pez-Ib\u00e1\u00f1ez and Richard Allmendinger<\/em><\/li><li>RF+clust for Leave-One-Problem-Out Performance Prediction<br><em>Ana Nikolikj, Carola Doerr and Tome Eftimov<\/em><\/li><li>Evolving Non-cryptographic Hash Functions using Genetic Programming for High-speed Lookups in Network Security Applications<br><em>Mujtaba Hassan, Arish Sateesan, Jo Vliegen, Stjepan Picek and Nele Mentens<\/em><\/li><li>Use of a Genetic Algorithm to Evolve the Parameters of an Iterated Function System in order to Create Adapted Phenotypic Structures<br><em>Habiba Akter, Rupert Young, Philip Birch and Chris Chatwin<\/em><\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Talks<\/h3>\n\n\n\n<ul><li>An Evolutionary Hyper-Heuristic for Airport Slot Allocation<br><em>David Melder, John Drake and Sha Wang<\/em><\/li><li>Evolving Neural Networks for Robotic Arm Control <strong>(EML joint track)<\/strong><br><em>Anthony Horgan and Karl Mason<\/em><\/li><li>Deep Reinforcement Learning for 5 x 5 Multiplayer Go<br><em>Brahim Driss, J\u00e9r\u00f4me Arjonilla, Hui Wang, Abdallah Saffidine and Tristan Cazenave<\/em><\/li><li>A Multi-Brain approach for Multi-Tasking in evolvable robots<br><em>Ege de Bruin, Julian Hatzky, Babak Hosseinkhani Kargar and A.E. Eiben<\/em><\/li><li>Centroid-based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training <strong>(EML joint track)<\/strong><br><em>Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer and Diego Oliva<\/em><\/li><li>Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions<br><em>Yutaro Yamada, Kento Uchida, Shota Saito and Shinichi Shirakawa<\/em><\/li><li>A Fitness-based Migration Policy for Biased Random-Key Genetic Algorithms<br><em>Mateus Boiani, Rafael Stubs Parpinelli and Marcio Dorn<\/em><\/li><li>A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems<br><em>Kalthoum Karkazan, Haluk Topcuoglu and Shaaban Sahmoud<\/em><\/li><li>Grammar-Guided Evolution of the U-Net <strong>(EML joint track)<\/strong><br><em>Mahsa Mahdinejad, Aidan Murphy, Michael Tetteh, Allan de Lima, Patrick Healy and Conor Ryan<\/em><\/li><li>Reducing the Price of Stable Bridges with CMA-ES<br><em>Gabriel Fernandes, Nuno Louren\u00e7o and Jo\u00e3o Correia<\/em><\/li><li>Explaining Recommender Systems by Evolutionary Interests Mix Modeling <strong>(EML joint track)<\/strong><br><em>Piotr Lipinski<\/em><\/li><li>Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features<br><em>Raphael Patrick Prager and Heike Trautmann<\/em><\/li><li>A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms using the Principles of Severity<br><em>Sowmya Chandrasekaran and Thomas Bartz-Beielstein<\/em><\/li><li>Automatic Design of Telecom Networks with Genetic Algorithms<br><em>Jo\u00e3o Correia, Gustavo Gama and Nuno Louren\u00e7o<\/em><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks An Evolutionary Approach for Scheduling a Fleet of Shared Electric VehiclesSteffen Limmer, Johannes Varga and G\u00fcnther Raidl The Specialized Threat Evaluation and Weapon Target Assignment Problem: Genetic Algorithm Optimization and ILP Model SolutionAhmet Burak Barakl\u0131, Fatih Semiz and Emre Atasoy Improving the size and quality of MAP-Elites containers via multiple emitters and decoders [&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":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/pages\/1181"}],"collection":[{"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/comments?post=1181"}],"version-history":[{"count":18,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/pages\/1181\/revisions"}],"predecessor-version":[{"id":2381,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/pages\/1181\/revisions\/2381"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/media?parent=1181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}