Introduction to Evolutionary Algorithms (Record no. 110975)

000 -LEADER
fixed length control field 03412nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-1-84996-129-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220084515.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100609s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781849961295
-- 978-1-84996-129-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-84996-129-5
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.M35
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPFC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC000000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 620
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yu, Xinjie.
Relator term author.
245 10 - TITLE STATEMENT
Title Introduction to Evolutionary Algorithms
Medium [electronic resource] /
Statement of responsibility, etc by Xinjie Yu, Mitsuo Gen.
264 #1 -
-- London :
-- Springer London,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XVII, 418p. 168 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Decision Engineering,
International Standard Serial Number 1619-5736 ;
Volume number/sequential designation 0
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Evolutionary Algorithms -- Simple Evolutionary Algorithms -- Advanced Evolutionary Algorithms -- Dealing with Complicated Problems -- Constrained Optimization -- Multimodal Optimization -- Multiobjective Optimization -- Combinatorial Optimization -- Brief Introduction to Other Evolutionary Algorithms -- Swarm Intelligence -- Artificial Immune Systems -- Genetic Programming.
520 ## - SUMMARY, ETC.
Summary, etc Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Control engineering systems.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Control , Robotics, Mechatronics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Simulation and Modeling.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gen, Mitsuo.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781849961288
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Decision Engineering,
-- 1619-5736 ;
Volume number/sequential designation 0
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-84996-129-5
912 ## -
-- ZDB-2-ENG

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