國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Introduction to evolutionary computing

Eiben, Agoston E.

Introduction to evolutionary computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to evolutionary computingby A.E. Eiben, J.E. Smith.
作者:	Eiben, Agoston E.
其他作者:	Smith, J. E.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
面頁冊數:	xii, 287 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Evolutionary programming (Computer science)
電子資源:	http://dx.doi.org/10.1007/978-3-662-44874-8
ISBN:	9783662448748 (electronic bk.)

Introduction to evolutionary computing
Eiben, Agoston E.

Introduction to evolutionary computing[electronic resource] /by A.E. Eiben, J.E. Smith. - 2nd ed. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xii, 287 p. :ill., digital ;24 cm. - 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 (electronic bk.)

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

185150
Evolutionary programming (Computer science)

LC Class. No.: QA76.618

Dewey Class. No.: 006.3823

Introduction to evolutionary computing
LDR:02587nmm a2200349 a 4500 001 472571
003 DE-He213
005 20160223145851.0
006 m d
007 cr nn 008maaau
008 160316s2015 gw s 0 eng d
020 $a 9783662448748 (electronic bk.)
020 $a 9783662448731 (paper)
024 7 $a 10.1007/978-3-662-44874-8 $2 doi
035 $a 978-3-662-44874-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.618
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3823 $2 23
090 $a QA76.618 $b .E34 2015
100 1 $a Eiben, Agoston E. $3 231708
245 1 0 $a Introduction to evolutionary computing $h [electronic resource] / $c by A.E. Eiben, J.E. Smith.
250 $a 2nd ed.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xii, 287 p. : $b ill., digital ; $c 24 cm.
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 0 $a Evolutionary programming (Computer science) $3 185150
650 0 $a Evolutionary computation. $3 231709
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Theory of Computation. $3 274475
650 2 4 $a Robotics and Automation. $3 357111
650 2 4 $a Optimization. $3 274084
700 1 $a Smith, J. E. $q (James E.) $3 727780
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Natural computing series. $3 677825
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-44874-8
950 $a Computer Science (Springer-11645)