{"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":"2021-03-02T13:34:05","modified_gmt":"2021-03-02T12:34:05","slug":"evoapps-accepted-papers","status":"publish","type":"page","link":"http:\/\/www.evostar.org\/2021\/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>Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat<br><em>Md Asaduzzaman Noor and John Sheppard<\/em><\/li><li>Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites<br><em>Jonas Kuckling, Vincent van Pelt and Mauro Birattari<\/em><\/li><li>Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection<br><em>Ruba Abu Khurma, Khair Eddin Sabri, Pedro A. Castillo and Ibrahim Aljarah<\/em><\/li><li>Demonstrating the Evolution of GANs through t-SNE<br><em>Victor Costa, Nuno Louren\u00e7o, Jo\u00e3o Correia and Penousal Machado<\/em><\/li><li>Adaptive Covariance Pattern Search<br><em>Ferrante Neri<\/em><\/li><li>Optimising diversity in classifier ensembles of classification trees<br><em>Carina Ivascu, Richard Everson and Jonathan Fieldsend<\/em><\/li><li>WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets<br><em>Rui Cardoso, Emma Hart, David Kurka and Jeremy Pitt<\/em><\/li><li>Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images<br><em>Harisu Abdullahi Shehu, Abubakar Siddique, Will Browne and Hedwig Eisenbarth<\/em><\/li><li>Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-based Soft Robots<br><em>Andrea Ferigo, Giovanni Iacca and Eric Medvet<\/em><\/li><li>Transfer Learning for Automated Test Case Prioritization using XCSF<br><em>Lukas Rosenbauer, David P\u00e4tzel, Anthony Stein and J\u00f6rg H\u00e4hner<\/em><\/li><li>Desirable Objective Ranges in Preference-based Evolutionary Multiobjective Optimization<br><em>Sandra Gonz\u00e1lez-Gallardo, Rub\u00e9n Saborido, Ana B. Ruiz and Mariano Luque<\/em><\/li><li>EA-based ASV Trajectory Planner for Pollution Detection in Lentic Waters<br><em>Gonzalo Carazo-Barbero, Eva Besada-Portas and Jos\u00e9 Antonio L\u00f3pez Orozco<\/em><\/li><li>On the Effects of Absumption for XCS with Continuous-Valued Inputs<br><em>Alexander Wagner and Anthony Stein<\/em><\/li><li>Improving Efficiency and Diversity by Using Metaheuristics plus Integer Linear Programming<br><em>Miguel \u00c1ngel Dom\u00ednguez R\u00edos, Francisco Chicano and Enrique Alba<\/em><\/li><li>A NEAT Visualisation of Neuroevolution Trajectories<br><em>Stefano Sarti and Gabriela Ochoa<\/em><\/li><li>Evaluating Models with Dynamic Sampling Holdout<br><em>Celio Henrique Nogueira Larcher Junior and Helio Jos\u00e9 Corr\u00eaa Barbosa<\/em><\/li><li>Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification<br><em>Peng Wang, Bing Xue, Jing Liang and Mengjie Zhang<\/em><\/li><li>RDE-OP:A Region-based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-Layer Neural Networks<br><em>Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin and Diego Oliva<\/em><\/li><li>Deep Optimisation: Multi-Scale Evolution by Inducing and Searching in Deep Representations<br><em>Jamie Caldwell, Joshua Knowles, Christoph Thies, Filip Kubacki and Richard Watson<\/em><\/li><li>Playing with Dynamic Systems &#8211; Battling Swarms in Virtual Reality<br><em>Johannes B\u00fcttner, Christian Merz and Sebastian von Mammen<\/em><\/li><li>Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB  Functions<br><em>Quentin Renau, Carola Doerr, Johann Dreo and Benjamin Doerr<\/em><\/li><li>Modelling Asthma Patients Responsiveness to Treatment Using Feature Selection and Evolutionary Computation<br><em>Alejandro Lopez, Daphne S. Roozendaal, Hilde M. Spierenburg, Asta L. Holm, Renee Metcalf, Paula Perez-Pardo, Aletta D. Kraneveld and Alberto Tonda<\/em><\/li><li>A novel evolutionary approach for IoT-based water contaminant detection<br><em>Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini and Mario Molinara<\/em><\/li><li>Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses<br><em>Antonio Agresta, Marco Baioletti, Chiara Biscarini, Alfredo Milani and Valentino Santucci<\/em><\/li><li>Co-optimising Robot Morphology and Controller in a Simulated Open-ended Environment<br><em>Emma Hjellbrekke Stensby, Kai Olav Ellefsen and Kyrre Glette<\/em><\/li><li>A multi-objective multi-type facility location problem for the delivery of personalised medicine<br><em>Andreea Avramescu, Richard Allmendinger and Manuel L\u00f3pez-Ib\u00e1\u00f1ez<\/em><\/li><li>TensorGP &#8211; Genetic Programming Engine in TensorFlow<br><em>Francisco Baeta, Jo\u00e3o Correia, Tiago Martins and Penousal Machado<\/em><\/li><li>Effective Universal Unrestricted Adversarial Attacks using a MOE Approach<br><em>Alina-Elena Baia, Gabriele Di Bari and Valentina Poggioni<\/em><\/li><li>A Profile-Based \u2018GrEvolutionary\u2019 Hearthstone Agent<br><em>Alejandro Romero and Antonio Mora<\/em><\/li><li>Improving Neuroevolution Using Island Extinction and Repopulation<br><em>Zimeng Lyu, Joshua Karns, Abdelrahman Elsaid, Mohamed Mkaouer and Travis Desell<\/em><\/li><li>An Experimental Study on the Effects of Weight Initialization and Weight Inheritance on Neuroevolution<br><em>Zimeng Lyu, Abdelrahman Elsaid, Joshua Karns, Mohamed Wiem Mkaouer and Travis Desell<\/em><\/li><li>Towards Feature-Based Performance Regression Using Trajectory Data<br><em>Anja Jankovic, Tome Eftimov and Carola Doerr<\/em><\/li><li>Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm based on Decomposition<br><em>Sho Kajihara, Hiroyuki Sato and Keiki Takadama<\/em><\/li><li>Combining Multi-objective Evolutionary Algorithms with deep generative models towards focused molecular design<br><em>Tiago Sousa, Jo\u00e3o Correia, V\u00edtor Pereira and Miguel Rocha<\/em><\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Talks<\/h3>\n\n\n\n<ul><li>On Restricting Real-Valued Genotypes in Evolutionary Algorithms<br><em>J\u00f8rgen Nordmoen, T\u00f8nnes Frostad Nygaard, Eivind Samuelsen and Kyrre Glette<\/em><\/li><li>EDM-DRL: Toward Stable Reinforcement Learning through Ensembled Directed Mutation<br><em>Michael H. Prince, Andrew J. McGehee and Daniel R. Tauritz<\/em><\/li><li>A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems<br><em>Michael H. Prince, Kristian K. DeHaan and Daniel R. Tauritz<\/em><\/li><li>Real Time Optimisation of Traffic Signals to Prioritise Public Transport<br><em>Milan Wittpohl, Per-Arno Pl\u00f6tz and Neil Urquhart<\/em><\/li><li>Evaluating the Success-History based Adaptive Differential Evolution in the Protein Structure Prediction problem<br><em>Pedro Narloch and Marcio Dorn<\/em><\/li><li>3D-2D Registration using X-ray Simulation and CMA-ES<br><em>Tianci Wen, Franck Vidal and Radu Mihail<\/em><\/li><li>Evolving Character-Level DenseNet Architectures using Genetic Programming<br><em>Trevor Londt, Xiaoying Gao and Peter Andreae<\/em><\/li><li>Automated, Explainable Rule Extraction from MAP-Elites archives<br><em>Neil Urquhart, Emma Hart and Silke Hoehl<\/em><\/li><li>Estimation of  Grain-level  Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming<br><em>Laura Mill\u00e1n Garc\u00eda, Gabriel Kronberger, Jose Ignacio Hidalgo P\u00e9rez, Ricardo Fern\u00e1ndez Serrano, Oscar Garnica and Gaspar Gonz\u00e1lez Doncel<\/em><\/li><li>EDA-based optimization of blow&#8211;off valve positions for centrifugal compressor systems<br><em>Jacob Spindler, Rico Schulze, Kevin Schleifer and Hendrik Richter<\/em><\/li><li>Bayesian Networks for Mood Prediction Using Unobstrusive Ecological Momentary Assesments<br><em>Margarita Alejandra Rebolledo Coy, A.E. Eiben and Thomas Bartz-Beielstein<\/em><\/li><li>Evolutionary Planning in Latent Space<br><em>Thor Olesen, Dennis Nguyen, Rasmus Berg Palm and Sebastian Risi<\/em><\/li><li>Event-driven multi-algorithm optimization: mixing Swarm and   Evolutionary strategies<br><em>Mario Garcia Valdez and Jj Merelo<\/em><\/li><li>Utilizing the Untapped Potential of IndirectEncoding for Neural Networks with MetaLearning<br><em>Adam Katona, Nuno Louren\u00e7o, Penousal Machado, Dan Franks and James Alfred Walker<\/em><\/li><li>Minecraft Mechanical Creations Environment: A New Challenge for Open-Ended Algorithm<br><em>Djordje Grbic, Rasmus Berg Palm, Elias Najarro, Claire Glanois and Sebastian Risi<\/em><\/li><li>Multi-objective workforce allocation in construction projects<br><em>Andrew Iskandar and Richard Allmendinger<\/em><\/li><li>Continuous Ant-Based Neural Topology Search<br><em>Abdelrahman Elsaid, Travis Desell, Ororbia Alexander, Zimeng Lyu and Karns Joshua<\/em><\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks Evolutionary Grain-Mixing to Improve Profitability in Farming Winter WheatMd Asaduzzaman Noor and John Sheppard Automatic Modular Design of Behavior Trees for Robot Swarms with Communication CapabilitesJonas Kuckling, Vincent van Pelt and Mauro Birattari Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites DetectionRuba Abu Khurma, Khair Eddin Sabri, Pedro A. Castillo [&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\/2021\/wp-json\/wp\/v2\/pages\/1181"}],"collection":[{"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/comments?post=1181"}],"version-history":[{"count":9,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/pages\/1181\/revisions"}],"predecessor-version":[{"id":1791,"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/pages\/1181\/revisions\/1791"}],"wp:attachment":[{"href":"http:\/\/www.evostar.org\/2021\/wp-json\/wp\/v2\/media?parent=1181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}