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200 10$aGenetic Programming $e28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23?25, 2025, Proceedings /$fedited by Bing Xue, Luca Manzoni, Illya Bakurov
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (X, 258 p. 79 illus., 74 illus. in color.) 
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15609
311 08$a3-031-89990-3 
327   $a -- Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone.  -- A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes.  -- Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP.  -- Multi-Objective Evolutionary Design of Explainable EEG Classifier.  -- On the Effectiveness of Crossover Operators in Cartesian Genetic Programming.  -- Population Diversity, Information Theory and Genetic Improvement.  -- Introducing Crossover in SLIM-GSGP.  -- Exploring the Integration of Cellular Structures in Genetic Programming-based Methods.  -- Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task.  -- Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming.  -- Evolved and Transparent Pipelines for Biomedical Image Classification.  -- Unified Piecewise Symbolic Regression.  -- Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection.  -- The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks.  -- Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression.
330   $aThis book constitutes the refereed proceedings of the 28th European Conference on Genetic Programming, EuroGP 2025, held in Trieste, Italy, during April 23?25, 2025 and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 10 full papers were and 5 short papers included in this volume were carefully reviewed and selected from 27 submissions.The wide range of topics in this volume reflects the current state of research in the field. The universality of computer programs and their importance in so many areas of our lives means that automating these tasks is an exceptionally ambitious challengewith far-reaching implications.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v15609
606   $aProgramming languages (Electronic computers)
606   $aSystem theory
606   $aComputer networks
606   $aMachine learning
606   $aNatural language processing (Computer science)
606   $aProgramming Language
606   $aComplex Systems
606   $aComputer Communication Networks
606   $aMachine Learning
606   $aNatural Language Processing (NLP)
615  0$aProgramming languages (Electronic computers)
615  0$aSystem theory.
615  0$aComputer networks.
615  0$aMachine learning.
615  0$aNatural language processing (Computer science)
615 14$aProgramming Language.
615 24$aComplex Systems.
615 24$aComputer Communication Networks.
615 24$aMachine Learning.
615 24$aNatural Language Processing (NLP).
676   $a005.13
702   $aXue$b Bing$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aManzoni$b Luca$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aBakurov$b Illya$4edt$4http://id.loc.gov/vocabulary/relators/edt
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