{"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":"2022-04-17T00:42:52","modified_gmt":"2022-04-16T22:42:52","slug":"evoapps-accepted-papers","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2022\/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>A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment<br><em>Demelza Robinson, Qi Chen, Bing Xue, Daniel Killen, Keith C Gordon and Mengjie Zhang<\/em><\/li><li>A Machine Learning-Based Approach for Economics-Tailored Applications: The Spanish Case Study<br><em>Zakaria Abdelmoiz Dahi, Gabriel Luque and Enrique Alba<\/em><\/li><li>Co-evolution of Spies and Resistance Fighters<br><em>Johanna Lange, Mario Stanke and Marc Ebner<\/em><\/li><li>RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation<br><em>Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon Chakrabortty, Gerald Schaefer and Diego Oliva<\/em><\/li><li>EvoMCS: Optimising Energy and Throughput of Mission Critical Services<br><em>Miguel Arieiro and Bruno Sousa<\/em><\/li><li>Improving the Convergence and Diversity in Differential Evolution through a Stock Market Criterion<br><em>Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad and Marco Perez-Cisneros<\/em><\/li><li>The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization<br><em>Manuel L\u00f3pez-Ib\u00e1\u00f1ez, Francisco Chicano and Rodrigo Gil-Merino<\/em><\/li><li>Optimising Communication Overhead in Federated Learning Using NSGA-II<br><em>Jos\u00e9 \u00c1ngel Morell Mart\u00ednez, Zakaria Abdelmoiz Dahi, Jos\u00e9 Francisco Chicano Garcia, Gabriel Luque Polo and Enrique Alba Torres<\/em><\/li><li>WebGE: an open-source tool for symbolic regression using Grammatical Evolution<br><em>Jos\u00e9 Manuel Colmenar, Ra\u00fal Mart\u00edn Santamar\u00eda and J. Ignacio Hidalgo<\/em><\/li><li>EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python<br><em>Anh T. Dang, Raneem Qaddoura, Ala M. Al-Zoubi, Hossam Faris and Pedro A. Castillo<\/em><\/li><li>Public-Private Partnership: Evolutionary Algorithms as a Solution to Informative Asymmetries<br><em>Simone Pellegrino, Massimo Rebuglio and Giovanni Squillero<\/em><\/li><li>Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies<br><em>Masahiro Nomura and Isao Ono<\/em><\/li><li>Combining the properties of Random Forest with Grammatical Evolution to construct  ensemble models<br><em>Daniel Parra, Jose-Manuel Velasco, Alberto Guti\u00e9rrez, Oscar Garnica and J. Ignacio Hidalgo<\/em><\/li><li>Parameter Tuning for the (1 + (\u03bb, \u03bb)) Genetic Algorithm using Landscape Analysis and Machine Learning<br><em>Maxim Pikalov and Vladimir Mironovich<\/em><\/li><li>Negative Selection Algorithm for Alzheimer\u2019s Diagnosis: Design and Performance Evaluation<br><em>Giuseppe De Gregorio, Antonio Della Cioppa and Angelo Marcelli<\/em><\/li><li>Neuroevolution Trajectory Networks of the Behaviour Space<br><em>Stefano Sarti, Jason Adair and Gabriela Ochoa<\/em><\/li><li>Swarm optimised few-view binary tomography<br><em>Mohammad Majid al-Rifaie and Tim Blackwell<\/em><\/li><li>Vectorial GP for Alzheimer&#8217;s Disease Prediction Through Handwriting Analysis<br><em>Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini and Leonardo Vanneschi<\/em><\/li><li>Ground-truth segmentation of the spinal cord from 3T MR images using evolutionary computation<br><em>Mohamed-Mounir El Mendili, No\u00e9mie Villard, Brice Tiret, Rapha\u00ebl Chen, Damien Galanaud, Benoit Magnin, St\u00e9phane Lehericy, Pierre-Fran\u00e7ois Pradat, Evelyne Lutton and Salma Mesmoudi<\/em><\/li><li>Detecting Nested Structures Through Evolutionary Multi-Objective Clustering<br><em>Cristina Morimoto, Aurora Pozo and Marcilio De Souto<\/em><\/li><li>Multi-Objective Optimization of Extreme Learning Machine for Remaining Useful Life Prediction<br><em>Hyunho Mo and Giovanni Iacca<\/em><\/li><li>Evolution of Acoustic Logic Gates in Granular Metamaterials<br><em>Atoosa Parsa, Josh Bongard, Rebecca Kramer-Bottiglio, Corey O&#8217;Hern and Mark D. Shattuck<\/em><\/li><li>Search Trajectories Networks of Multi-objectiveEvolutionary Algorithms<br><em>Yuri Lavinas, Claus Aranha and Gabriela Ochoa<\/em><\/li><li>Multiobjective electric vehicle charging station locations in a city scale area: Malaga study case<br><em>Christian Cintrano and Jamal Toutouh<\/em><\/li><li>Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS<br><em>Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato and Keiki Takadama<\/em><\/li><li>Neuroevolution of Spiking Neural P Systems<br><em>Leonardo Lucio Custode, Hyunho Mo and Giovanni Iacca<\/em><\/li><li>Search-Based Third-Party Library Migration at the Method-Level<br><em>Niranjana Deshpande, Mohamed Wiem Mkaouer, Ali Ouni and Naveen Sharma<\/em><\/li><li>Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers<br><em>Rui Cardoso, Emma Hart, David Kurka and Jeremy Pitt<\/em><\/li><li>Brain programming and its resilience using a real-world database of a Snowy Plover shorebird<br><em>Roberto Pineda, Gustavo Olague, Gerardo Ibarra-Vazquez, Axel Martinez, Jonathan Vargas and Isnardo Reducindo<\/em><\/li><li>Seeking Specialization Through Novelty in Distributed Online Collective Robotics<br><em>Amine Boumaza<\/em><\/li><li>Integrating Safety Guarantees into the Learning Classifier System XCS<br><em>Tim Hansmeier and Marco Platzner<\/em><\/li><li>On the Difficulty of Evolving Permutation Codes<br><em>Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko \u0110urasevi\u0107 and Alberto Leporati<\/em><\/li><li>Open-ended search for environments and adapted agents using MAP-Elites<br><em>Emma Stensby Norstein, Kai Olav Ellefsen and Kyrre Glette<\/em><\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Talks<\/h3>\n\n\n\n<ul><li>Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law<br><em>Massimo Fornasier, Timo Klock and Konstantin Riedl<\/em><\/li><li>Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling<br><em>Peter Lane, Na Helian, Muhammad Haad Bodla, Minghua Zheng and Paul Moggridge<\/em><\/li><li>Deep Catan<br><em>Brahim Driss and Tristan Cazenave<\/em><\/li><li>Automating Speedrun Routing: Overview and Vision<br><em>Matthias Gro\u00df, Dietlind Z\u00fchlke and Boris Naujoks<\/em><\/li><li>Resilient Bioinspired Algorithms: A Computer System Design Perspective<br><em>Carlos Cotta and Gustavo Olague<\/em><\/li><li>An Enhanced Opposition-based Evolutionary Feature Selection Approach<br><em>Pedro A. Castillo, Ruba Khurma, Ibrahim Aljarah and Khair Sabri<\/em><\/li><li>Explainable Landscape Analysis in Automated Algorithm Performance Prediction<br><em>Risto Trajnov, Stefan Dimeski, Martin Popovski, Peter Koro\u0161ec and Tome Eftimov<\/em><\/li><li>Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization<br><em>Marco Baioletti, Alfredo Milani, Valentino Santucci and Marco Tomassini<\/em><\/li><li>A Methodology for Determining Ion Channels from Membrane Potential Neuronal Recordings<br><em>Juan Luis Jim\u00e9nez Laredo, Lo\u00efs Naudin, Nathalie Corson and Carlos M. Fernandes<\/em><\/li><li>ANN-EMOA: Evolving Neural Networks Efficiently<br><em>Steven K\u00fcnzel and Silja Meyer-Nieberg<\/em><\/li><li>Self-Adaptation of Neuroevolution Algorithms using Reinforcement Learning<br><em>Michael Kogan, Joshua Karns and Travis Desell<\/em><\/li><li>Evolving Data Augmentation Strategies<br><em>Sofia Pereira, Jo\u00e3o Correia and Penousal Machado<\/em><\/li><li>Out of Time: On the Constrains that Evolution in Hardware Faces when Evolving Modular Robots<br><em>Rodrigo Moreno and Andres Fai\u00f1a<\/em><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient AssessmentDemelza Robinson, Qi Chen, Bing Xue, Daniel Killen, Keith C Gordon and Mengjie Zhang A Machine Learning-Based Approach for Economics-Tailored Applications: The Spanish Case StudyZakaria Abdelmoiz Dahi, Gabriel Luque and Enrique Alba Co-evolution of Spies and Resistance FightersJohanna Lange, Mario Stanke and Marc [&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\/2022\/wp-json\/wp\/v2\/pages\/1181"}],"collection":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/comments?post=1181"}],"version-history":[{"count":15,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/1181\/revisions"}],"predecessor-version":[{"id":1973,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/1181\/revisions\/1973"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/media?parent=1181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}