Genetic Programming 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings /

This 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...

Полное описание

Сохранить в:
Библиографические подробности
Соавтор: SpringerLink (Online service)
Другие авторы: Xue, Bing (Редактор), Manzoni, Luca (Редактор), Bakurov, Illya (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Редактирование:1st ed. 2025.
Серии:Lecture Notes in Computer Science, 15609
Предметы:
Online-ссылка:https://doi.org/10.1007/978-3-031-89991-1
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-89991-1
003 DE-He213
005 20260706115922.0
007 cr nn 008mamaa
008 250423s2025 sz | s |||| 0|eng d
020 |a 9783031899911  |9 978-3-031-89991-1 
024 7 |a 10.1007/978-3-031-89991-1  |2 doi 
050 4 |a QA76.7-.73 
072 7 |a UMX  |2 bicssc 
072 7 |a COM051010  |2 bisacsh 
072 7 |a UMX  |2 thema 
082 0 4 |a 005.13  |2 23 
245 1 0 |a Genetic Programming  |h [electronic resource] :  |b 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings /  |c edited by Bing Xue, Luca Manzoni, Illya Bakurov. 
250 |a 1st ed. 2025. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2025. 
300 |a X, 258 p. 79 illus., 74 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Computer Science,  |x 1611-3349 ;  |v 15609 
505 0 |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. 
520 |a This 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. 
650 0 |a Programming languages (Electronic computers). 
650 0 |a System theory. 
650 0 |a Computer networks . 
650 0 |a Machine learning. 
650 0 |a Natural language processing (Computer science). 
650 1 4 |a Programming Language. 
650 2 4 |a Complex Systems. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Machine Learning. 
650 2 4 |a Natural Language Processing (NLP). 
700 1 |a Xue, Bing.  |e editor.  |0 (orcid)0000-0002-4865-8026  |1 https://orcid.org/0000-0002-4865-8026  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Manzoni, Luca.  |e editor.  |0 (orcid)0000-0001-6312-7728  |1 https://orcid.org/0000-0001-6312-7728  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Bakurov, Illya.  |e editor.  |0 (orcid)0000-0002-6458-942X  |1 https://orcid.org/0000-0002-6458-942X  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031899904 
776 0 8 |i Printed edition:  |z 9783031899928 
830 0 |a Lecture Notes in Computer Science,  |x 1611-3349 ;  |v 15609 
856 4 0 |u https://doi.org/10.1007/978-3-031-89991-1 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-SXPS 
912 |a ZDB-2-LNC 
912 |a ZDB-2-239 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 
950 |a Springer Nature Proceedings Computer Science (SpringerNature-85344) 
950 |a Focus Bundle Software and Systems (SpringerNature-85409)