國立虎尾科技大學 |

Introduction to Evolutionary Computing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Introduction to Evolutionary Computing/ by A.E. Eiben, J.E. Smith.
Author:	Eiben, A.E.
other author:	Smith, J.E.
Description:	XII, 287 p. 67 illus., 12 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Robotics and Automation. -
Online resource:	https://doi.org/10.1007/978-3-662-44874-8
ISBN:	9783662448748

Introduction to Evolutionary Computing
Eiben, A.E.

Introduction to Evolutionary Computing[electronic resource] /by A.E. Eiben, J.E. Smith. - 2nd ed. 2015. - XII, 287 p. 67 illus., 12 illus. in color.online resource. - Natural Computing Series,1619-7127. - Natural Computing Series,.

Problems to Be Solved -- Evolutionary Computing: The Origins -- What Is an Evolutionary Algorithm? -- Representation, Mutation, and Recombination -- Fitness, Selection, and Population Management -- Popular Evolutionary Algorithm Variants -- Hybridisation with Other Techniques: Memetic Algorithms -- Nonstationary and Noisy Function Optimisation -- Multiobjective Evolutionary Algorithms -- Constraint Handling -- Interactive Evolutionary Algorithms -- Coevolutionary Systems -- Theory -- Evolutionary Robotics -- Parameters and Parameter Tuning -- Parameter Control -- Working with Evolutionary Algorithms -- References.

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

ISBN: 9783662448748

Standard No.: 10.1007/978-3-662-44874-8doiSubjects--Topical Terms:

782979
Robotics and Automation.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Introduction to Evolutionary Computing
LDR:02941nam a22004095i 4500 001 965336
003 DE-He213
005 20200702061326.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783662448748 $9 978-3-662-44874-8
024 7 $a 10.1007/978-3-662-44874-8 $2 doi
035 $a 978-3-662-44874-8
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Eiben, A.E. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1260913
245 1 0 $a Introduction to Evolutionary Computing $h [electronic resource] / $c by A.E. Eiben, J.E. Smith.
250 $a 2nd ed. 2015.
264 1 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a XII, 287 p. 67 illus., 12 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Natural Computing Series, $x 1619-7127
505 0 $a Problems to Be Solved -- Evolutionary Computing: The Origins -- What Is an Evolutionary Algorithm? -- Representation, Mutation, and Recombination -- Fitness, Selection, and Population Management -- Popular Evolutionary Algorithm Variants -- Hybridisation with Other Techniques: Memetic Algorithms -- Nonstationary and Noisy Function Optimisation -- Multiobjective Evolutionary Algorithms -- Constraint Handling -- Interactive Evolutionary Algorithms -- Coevolutionary Systems -- Theory -- Evolutionary Robotics -- Parameters and Parameter Tuning -- Parameter Control -- Working with Evolutionary Algorithms -- References.
520 $a The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
650 2 4 $a Robotics and Automation. $3 782979
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
650 0 $a Computers. $3 565115
650 0 $a Robotics. $3 561941
650 0 $a Automation. $3 596698
650 0 $a Mathematical optimization. $3 527675
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Theory of Computation. $3 669322
650 2 4 $a Optimization. $3 669174
700 1 $a Smith, J.E. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1260914
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783662448731
776 0 8 $i Printed edition: $z 9783662448755
776 0 8 $i Printed edition: $z 9783662499856
830 0 $a Natural Computing Series, $x 1619-7127 $3 1256952
856 4 0 $u https://doi.org/10.1007/978-3-662-44874-8
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)