{"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":"2022-04-01T21:48:43","modified_gmt":"2022-04-01T19:48:43","slug":"eurogp-accepted-papers","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2022\/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>Multi-objective GP with AWS for Symbolic Regression<br><em>Christian Raymond, Qi Chen, Bing Xue and Mengjie Zhang<\/em><\/li><li>On the Schedule for Morphological Development of Evolved Modular Soft Robots<br><em>Giorgia Nadizar, Eric Medvet and Karine Miras<\/em><\/li><li>Genetic Programming-Based Inverse Kinematics for Robotic Manipulators<br><em>Julia Reuter, Christoph Steup and Sanaz Mostaghim<\/em><\/li><li>Combining Geometric Semantic GP with Gradient-descent Optimization<br><em>Gloria Pietropolli, Luca Manzoni, Alessia Paoletti and Mauro Castelli<\/em><\/li><li>One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems<br><em>Patrick Indri, Alberto Bartoli, Eric Medvet and Laura Nenzi<\/em><\/li><li>Evolutionary design of reduced precision levodopa-induced dyskinesia classifiers<br><em>Martin Hurta, Michaela Drahosova, Lukas Sekanina, Stephen L. Smith and Jane E. Alty<\/em><\/li><li>Program Synthesis with Genetic Programming: The Influence of Batch Sizes<br><em>Dominik Sobania and Franz Rothlauf<\/em><\/li><li>An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling<br><em>Zhixing Huang, Fangfang Zhang, Yi Mei and Mengjie Zhang<\/em><\/li><li>Using Denoising Autoencoder LSTM Networks to control Exploration and Exploitation in Estimation of Distribution Genetic Programming<br><em>David Wittenberg<\/em><\/li><li>Cooperative Co-Evolution and Adaptive Team Composition for a Multi-Rover Resources Allocation Problem<br><em>Nicolas Fontbonne, Nicolas Maudet and Nicolas Bredeche<\/em><\/li><li>Evolving Adaptive Neural Network Optimizers for Image Classification<br><em>Pedro Carvalho, Nuno Louren\u00e7o and Penousal Machado<\/em><\/li><li>SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming<br><em>Nuno Rodrigues, Jo\u00e3o Batista, William La Cava, Leonardo Vanneschi and Sara Silva<\/em><\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Talks<\/h3>\n\n\n\n<ul><li>Exploiting Knowledge from Code to Guide Program Search<br><em>Dirk Schweim, Erik Hemberg, Dominik Sobania and Una-May O&#8217;Reilly<\/em><\/li><li>Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems<br><em>Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend and Pierre Collet<\/em><\/li><li>Synthesizing Programs from Program Pieces using Genetic Programming and Refinement Type Checking<br><em>Sabrina Tseng, Erik Hemberg and Una-May O&#8217;Reilly<\/em><\/li><li>Permutation-Invariant Representation of Neural Networks with Neuron Embeddings<br><em>Ryan Zhou, Christian Muise and Ting Hu<\/em><\/li><li>Multi-Objective Genetic Programming for Explainable Reinforcement Learning<br><em>Mathurin Videau, Alessandro Leite, Olivier Teytaud and Marc Schoenauer<\/em><\/li><li>Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites<br><em>Kyle Nickerson, Ting Hu and Antonina Kolokolova<\/em><\/li><li>Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence<br><em>Pantia Marina Alchirch, Dimitrios I. Diochnos and Katia Papakonstantinopoulou<\/em><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long Talks Multi-objective GP with AWS for Symbolic RegressionChristian Raymond, Qi Chen, Bing Xue and Mengjie Zhang On the Schedule for Morphological Development of Evolved Modular Soft RobotsGiorgia Nadizar, Eric Medvet and Karine Miras Genetic Programming-Based Inverse Kinematics for Robotic ManipulatorsJulia Reuter, Christoph Steup and Sanaz Mostaghim Combining Geometric Semantic GP with Gradient-descent OptimizationGloria Pietropolli, [&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\/2022\/wp-json\/wp\/v2\/pages\/958"}],"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\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/comments?post=958"}],"version-history":[{"count":6,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/958\/revisions"}],"predecessor-version":[{"id":1899,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/958\/revisions\/1899"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/media?parent=958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}