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Titlebook: Genetic Programming Theory and Practice XIV; Rick Riolo,Bill Worzel,Bill Tozier Book 2018 Springer Nature Switzerland AG 2018 Genetic prog

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发表于 2025-3-21 18:50:13 | 显示全部楼层 |阅读模式
书目名称Genetic Programming Theory and Practice XIV
编辑Rick Riolo,Bill Worzel,Bill Tozier
视频video
概述Provides chapters describing cutting-edge work on the theory and applications of genetic programming (GP).Offers large-scale, real-world applications of GP to a variety of problem domains.Written by l
丛书名称Genetic and Evolutionary Computation
图书封面Titlebook: Genetic Programming Theory and Practice XIV;  Rick Riolo,Bill Worzel,Bill Tozier Book 2018 Springer Nature Switzerland AG 2018 Genetic prog
描述.These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Chapters in this volume include: ..Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression.Hybrid Structural and Behavioral Diversity Methods in GP.Multi-Population Competitive Coevolution for Anticipation of Tax Evasion.Evolving Artificial General Intelligence for Video Game Controllers.A Detailed Analysis of a PushGP Run.Linear Genomes for Structured Programs.Neutrality, Robustness, and Evolvability in GP.Local Search in GP.PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification.Relational Structure in Program Synthesis Problems with Analogical Reasoning.An Evolutionary Algorithm for Big Data Multi-Class Classification Problems.A Generic Framework for Building Dispersion Operators in the Semantic Space.Assisting Asset Model Development with Evolutionary Augmentation.Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool .
出版日期Book 2018
关键词Genetic programming; Genetic programming theory; Genetic programming applications; Symbolic regression;
版次1
doihttps://doi.org/10.1007/978-3-319-97088-2
isbn_softcover978-3-030-07300-8
isbn_ebook978-3-319-97088-2Series ISSN 1932-0167 Series E-ISSN 1932-0175
issn_series 1932-0167
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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https://doi.org/10.1007/978-3-658-35967-6ic information (or instructions) to the solution. These visualizations and our ability to trace these key instructions throughout the run allow us to identify general inheritance patterns and key evolutionary moments in this run.
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Elektronische Ausweisdokumente,es—albeit not . accuracy. Armed with these SR successes, we naively thought that achieving extreme accuracy applying GP to symbolic multi-class classification would be an easy goal. However, it seems algorithms having extreme accuracy in SR do not translate directly into symbolic multi-class classif
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Datenschutz als Wettbewerbsvorteil Programming can indeed find improved solutions according to an error metric, it is much harder for Genetic Programming to find models that do not increase complexity. Also, we find that one approach in particular shows promise as a way to incorporate domain knowledge.
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https://doi.org/10.1007/978-3-322-85479-7find that this sensible initialization method significantly improves TPOT’s performance on one benchmark at no cost of significantly degrading performance on the others. Thus, sensible initialization with machine learning pipeline building blocks shows promise for GP-based AutoML systems, and should
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1932-0167 g Dispersion Operators in the Semantic Space.Assisting Asset Model Development with Evolutionary Augmentation.Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool .978-3-030-07300-8978-3-319-97088-2Series ISSN 1932-0167 Series E-ISSN 1932-0175
发表于 2025-3-23 00:22:30 | 显示全部楼层
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regressenotypic and, in particular, phenotypic levels. The pressure for adaptive change increases phenotypic robustness in the face of genotypic perturbations, leading to less genotypic variability on the one hand, and very low phenotypic diversity on the other hand. Finally, the evolution of similarities
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