Genetic Programming Theory and Practice XVIII (Record no. 179261)

MARC details
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fixed length control field 04099nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-981-16-8113-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125545.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811681134
-- 978-981-16-8113-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-16-8113-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYA
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM014000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYA
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.0151
Edition number 23
245 10 - TITLE STATEMENT
Title Genetic Programming Theory and Practice XVIII
Medium [electronic resource] /
Statement of responsibility, etc edited by Wolfgang Banzhaf, Leonardo Trujillo, Stephan Winkler, Bill Worzel.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 212 p. 74 illus., 62 illus. in color.
Other physical details online resource.
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Genetic and Evolutionary Computation,
International Standard Serial Number 1932-0175
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs -- Chapter 2. Grammar-based Vectorial Genetic Programming for Symbolic Regression -- Chapter 3. Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming -- Chapter 4. What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms? -- Chapter 5. An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality -- Chapter 6. Feature Discovery with Deep Learning Algebra Networks -- Chapter 7. Back To The Future — Revisiting OrdinalGP & Trustable Models After a Decade -- Chapter 8. Fitness First -- Chapter 9. Designing Multiple ANNs with Evolutionary Development: Activity Dependence -- Chapter 10. Evolving and Analyzing modularity with GLEAM (Genetic Learning by Extraction and Absorption of Modules) -- Chapter 11. Evolution of the Semiconductor Industry, and the Start of X Law.
520 ## - SUMMARY, ETC.
Summary, etc This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. 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 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bionics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Models of Computation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinspired Technologies.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Banzhaf, Wolfgang.
Relator term editor.
-- (orcid)
-- 0000-0002-6382-3245
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Trujillo, Leonardo.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Winkler, Stephan.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Worzel, Bill.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789811681127
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789811681141
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789811681158
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Genetic and Evolutionary Computation,
-- 1932-0175
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-16-8113-4">https://doi.org/10.1007/978-981-16-8113-4</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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