國立高雄大學圖資館 |

Language: English

Back

Genetic programming theory and pract...

(1998 :)

Genetic programming theory and practice XIV

Record Type:	Electronic resources : Monograph/item
Title/Author:	Genetic programming theory and practice XIVedited by Rick Riolo ... [et al.].
remainder title:	Genetic programming theory and practice 14
other author:	Riolo, Rick.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	xv, 227 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Genetic programming (Computer science)
Online resource:	https://doi.org/10.1007/978-3-319-97088-2
ISBN:	9783319970882$q(electronic bk.)

Genetic programming theory and practice XIV
Genetic programming theory and practice XIV[electronic resource] /Genetic programming theory and practice 14edited by Rick Riolo ... [et al.]. - Cham :Springer International Publishing :2018. - xv, 227 p. :ill., digital ;24 cm. - Genetic and evolutionary computation,1932-0167. - Genetic and evolutionary computation..

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.

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.

ISBN: 9783319970882$q(electronic bk.)

Standard No.: 10.1007/978-3-319-97088-2doiSubjects--Topical Terms:

206263
Genetic programming (Computer science)

LC Class. No.: QA76.623

Dewey Class. No.: 006.31

Genetic programming theory and practice XIV
LDR:03609nmm a2200361 a 4500 001 545601
003 DE-He213
005 20181024141035.0
006 m d
007 cr nn 008maaau
008 190530s2018 gw s 0 eng d
020 $a 9783319970882$q(electronic bk.)
020 $a 9783319970875$q(paper)
024 7 $a 10.1007/978-3-319-97088-2 $2 doi
035 $a 978-3-319-97088-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.623
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
072 7 $a TJFM1 $2 thema
082 0 4 $a 006.31 $2 23
090 $a QA76.623 $b .W926 2016
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Genetic programming theory and practice XIV $h [electronic resource] / $c edited by Rick Riolo ... [et al.].
246 3 $a Genetic programming theory and practice 14
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xv, 227 p. : $b ill., digital ; $c 24 cm.
490 1 $a Genetic and evolutionary computation, $x 1932-0167
505 0 $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.
520 $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.
650 0 $a Genetic programming (Computer science) $3 206263
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
700 1 $a Riolo, Rick. $3 257720
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Genetic and evolutionary computation. $3 680244
856 4 0 $u https://doi.org/10.1007/978-3-319-97088-2
950 $a Computer Science (Springer-11645)