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|a 9783319970882
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|a 10.1007/978-3-319-97088-2
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|a Genetic Programming Theory and Practice XIV
|h [electronic resource] /
|c edited by Rick Riolo, Bill Worzel, Brian Goldman, Bill Tozier.
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| 250 |
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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| 300 |
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|a XV, 227 p. 52 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a text file
|b PDF
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|a Genetic and Evolutionary Computation,
|x 1932-0167
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|a 1 Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression -- 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming -- 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion -- 4 Evolving Artificial General Intelligence for Video Game Controllers -- 5 A Detailed Analysis of a PushGP Run -- 6 Linear Genomes for Structured Programs -- 7 Neutrality, Robustness, and Evolvability in Genetic Programming -- 8 Local Search is Underused in Genetic Programming -- 9 PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification -- 10 Discovering Relational Structural in Program Synthesis Problems with Analogical Reasoning -- 11 An Evolutionary Algorithm for Big Data Multi-Class Classification Problems -- 12 A Genetic Framework for Building Dispersion Operators in the Semantic Space -- 13 Assisting Asset Model Development with Evolutionary Augmentation -- 14 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool.
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| 520 |
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|a 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 Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Algorithms.
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| 650 |
1 |
4 |
|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
2 |
4 |
|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I16021
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| 700 |
1 |
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|a Riolo, Rick.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Worzel, Bill.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Goldman, Brian.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Tozier, Bill.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
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8 |
|i Printed edition:
|z 9783319970875
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319970899
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783030073008
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| 830 |
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|a Genetic and Evolutionary Computation,
|x 1932-0167
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-97088-2
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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