{"id":958,"date":"2020-02-28T22:58:30","date_gmt":"2020-02-28T21:58:30","guid":{"rendered":"http:\/\/www.evostar.org\/2020\/?page_id=958"},"modified":"2023-02-23T17:45:11","modified_gmt":"2023-02-23T16:45:11","slug":"eurogp-accepted-papers","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2023\/eurogp-accepted-papers\/","title":{"rendered":"EuroGP Accepted Papers"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Long Talks<\/h3>\n\n\n\n<ul><li>A Self-Adaptive Approach to Exploit Topological Properties of Different GAs\u2019 Crossover Operators<br><em>Jos\u00e9 Ferreira, Mauro Castelli, Luca Manzoni and Gloria Pietropolli<\/em><\/li><li>A Genetic Programming Encoder for Increasing Autoencoder Interpretability <strong>(EML joint track)<\/strong><br><em>Finn Schofield, Andrew Lensen and Luis Slyfield<\/em><\/li><li>Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows <strong>(EML joint track)<\/strong><br><em>Julia Reuter, Sanaz Mostaghim, Hani Elmestikawy, Fabien Evrard and Berend van Wachem<\/em><\/li><li>Phenotype Search Trajectory Networks for Linear Genetic Programming<br><em>Ting Hu, Gabriela Ochoa and Wolfgang Banzhaf<\/em><\/li><li>GPAM: Genetic Programming with Associative Memory<br><em>Tadeas Juza and Lukas Sekanina<\/em><\/li><li>MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning <strong>(EML joint track)<\/strong><br><em>Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf and Mengjie Zhang<\/em><\/li><li>Small Solutions for Real-World Symbolic Regression using Denoising Autoencoder Genetic Programming<br><em>David Wittenberg and Franz Rothlauf<\/em><\/li><li>Grammar-aware self-adaptive mutation operator<br><em>Pedro Carvalho, Jessica M\u00e9gane, Nuno Louren\u00e7o and Penousal Machado<\/em><\/li><li>A Boosting Approach to Constructing an Ensemble Stack <strong>(EML joint track)<\/strong><br><em>Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood and Malcolm Heywood<\/em><\/li><li>Adaptive Batch Size CGP: Improving accuracy and runtime for CGP Logic Optimization flow<br><em>Bryan Martins Lima, Naiara Sachetti, Augusto Berndt, Cristina Meinhardt and Jonata Tyska Carvalho<\/em><\/li><li>Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning<br><em>Nicholas Matsumoto, Anil Saini, Sandra Batista, Jason Moore, Pedro Ribeiro, Alena Orlenko, Hyunjun Choi, Leo-Pekka Lyytik\u00e4inen, Jari Laurikka and Terho Lehtim\u00e4ki<\/em><\/li><li>Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies<br><em>Christopher Crary, Wesley Piard, Greg Stitt, Caleb Bean and Benjamin Hicks<\/em><\/li><li>Memetic Semantic Genetic Programming for Symbolic Regression<br><em>Alessandro Leite and Marc Schoenauer<\/em><\/li><li>Grammatical Evolution with Code2Vec<br><em>Micha\u0142 Kowalczykiewicz and Piotr Lipinski<\/em><\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Talks<\/h3>\n\n\n\n<ul><li>Domain-Aware Feature Learning with Grammar-Guided Genetic Programming<br><em>Leon Ingelse and Alcides Fonseca<\/em><\/li><li>Genetic Improvement of LLVM Intermediate Representation<br><em>W B Langdon, Afnan Al-Subaihin, Aymeric Blot and David Clark<\/em><\/li><li>Spatial Genetic Programming <strong>(EML joint track)<\/strong><br><em>Iliya Miralavy and Wolfgang Banzhaf<\/em><\/li><li>All You Need Is Sex for Diversity<br><em>Jos\u00e9 Maria Sim\u00f5es, Nuno Louren\u00e7o and Penousal Machado<\/em><\/li><li>On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: an Experimental Analysis<br><em>Giorgia Nadizar and Eric Medvet<\/em><\/li><li>To bias or not to bias: Probabilistic initialisation for evolving dispatching rules<br><em>Marko \u0110urasevi\u0107, Francisco Javier Gil-Gala and Domagoj Jakobovic<\/em><\/li><li>MTGP: Combining Metamorphic Testing and Genetic Programming<br><em>Dominik Sobania, Martin Briesch, Philipp R\u00f6chner and Franz Rothlauf<\/em><\/li><li>Interacting Robots in a Artificial Evolutionary Ecosystem<br><em>Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen and A. E. Eiben<\/em><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks A Self-Adaptive Approach to Exploit Topological Properties of Different GAs\u2019 Crossover OperatorsJos\u00e9 Ferreira, Mauro Castelli, Luca Manzoni and Gloria Pietropolli A Genetic Programming Encoder for Increasing Autoencoder Interpretability (EML joint track)Finn Schofield, Andrew Lensen and Luis Slyfield Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows (EML joint track)Julia [&hellip;]<\/p>\n","protected":false},"author":5,"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\/958"}],"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\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/comments?post=958"}],"version-history":[{"count":10,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/pages\/958\/revisions"}],"predecessor-version":[{"id":2399,"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/pages\/958\/revisions\/2399"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2023\/wp-json\/wp\/v2\/media?parent=958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}