國立高雄大學圖資館 |

Language: English

Back

Coevolutionary computation and its applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Coevolutionary computation and its applicationsby Xin Yao, Siang Yew Chong.
Author:	Yao, Xin.
other author:	Chong, Siang Yew.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvii, 489 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Evolutionary computation.
Online resource:	https://doi.org/10.1007/978-981-96-2841-4
ISBN:	9789819628414$q(electronic bk.)

Coevolutionary computation and its applications
Yao, Xin.

Coevolutionary computation and its applications[electronic resource] /by Xin Yao, Siang Yew Chong. - Singapore :Springer Nature Singapore :2025. - xvii, 489 p. :ill., digital ;24 cm. - Natural computing series,2627-6461. - Natural computing series..

Part I Coevolutionary Computation Fundamentals, Applications, and Challenges -- Chapter 1 Evolutionary Computation: An Overview -- Chapter 2 Introduction to Coevolutionary Computation -- Chapter 3 Principal Approaches of Coevolution: Competitive and Cooperative -- Chapter 4 Applications of Coevolution in Real World Problem Solving -- Chapter 5 Pathologies and Analysis in Coevolutionary Search -- Part II Coevolutionary Computation on Optimization Problems -- Chapter 6 Coevolutionary Construction of Parallel Algorithm Portfolio Optimization -- Chapter 7 Cooperative Coevolution for Large Scale Optimization -- Chapter 8 High Dimensional Optimization as Computationally Expensive Optimization -- Chapter 9 Design Space Exploration for Multimode Dataflow Mapping -- Chapter 10 Cooperative Coevolutionary Design Optimization in Concurrent Engineering -- Part III Coevolutionary Computation on Learning Problems -- Chapter 11 Coevolutionary Learning in Noncooperative Games -- Chapter 12 Generalization in Coevolutionary Learning -- Chapter 13 Impact of Problem Structures in Coevolution.

This book introduces the fundamentals of Coevolutionary Computation and presents new methodologies that are developed and then employed for modern real-world problem-solving in various applications across different domains. It is structured in three main parts to support the anticipated general and frequent usage of the book. In particular, the reader is able to obtain a quick and general introduction on the principles of coevolution in Part I, and then go over in detail the specifics how coevolutionary principles are exploited and applied to solve specific problems in the relevant chapters of Parts II and III. In this manner, Part I will introduce the fundamentals in Coevolutionary Computation with no assumption made on familiarity with Evolutionary Computation literature. These fundamentals include key concepts and operational principles of both evolutionary and coevolutionary processes that are modelled as iterative algorithms and systems implementable in computing machines. Parts II and III contain various applications of coevolution to problems that are framed in the context of optimization and learning, respectively. Detailed procedural implementations are provided for those methodologies as well as analysis that highlight the improvements they bring about over conventional techniques.

ISBN: 9789819628414$q(electronic bk.)

Standard No.: 10.1007/978-981-96-2841-4doiSubjects--Topical Terms:

231709
Evolutionary computation.

LC Class. No.: QA76.618 / .Y36 2025

Dewey Class. No.: 006.3823

Coevolutionary computation and its applications
LDR:03451nmm a22003375a 4500 001 692747
003 DE-He213
005 20251204111018.0
006 m d
007 cr nn 008maaau
008 260622s2025 si s 0 eng d
020 $a 9789819628414$q(electronic bk.)
020 $a 9789819628407$q(paper)
024 7 $a 10.1007/978-981-96-2841-4 $2 doi
035 $a 978-981-96-2841-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.618 $b .Y36 2025
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3823 $2 23
090 $a QA76.618 $b .Y25 2025
100 1 $a Yao, Xin. $3 259966
245 1 0 $a Coevolutionary computation and its applications $h [electronic resource] / $c by Xin Yao, Siang Yew Chong.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvii, 489 p. : $b ill., digital ; $c 24 cm.
490 1 $a Natural computing series, $x 2627-6461
505 0 $a Part I Coevolutionary Computation Fundamentals, Applications, and Challenges -- Chapter 1 Evolutionary Computation: An Overview -- Chapter 2 Introduction to Coevolutionary Computation -- Chapter 3 Principal Approaches of Coevolution: Competitive and Cooperative -- Chapter 4 Applications of Coevolution in Real World Problem Solving -- Chapter 5 Pathologies and Analysis in Coevolutionary Search -- Part II Coevolutionary Computation on Optimization Problems -- Chapter 6 Coevolutionary Construction of Parallel Algorithm Portfolio Optimization -- Chapter 7 Cooperative Coevolution for Large Scale Optimization -- Chapter 8 High Dimensional Optimization as Computationally Expensive Optimization -- Chapter 9 Design Space Exploration for Multimode Dataflow Mapping -- Chapter 10 Cooperative Coevolutionary Design Optimization in Concurrent Engineering -- Part III Coevolutionary Computation on Learning Problems -- Chapter 11 Coevolutionary Learning in Noncooperative Games -- Chapter 12 Generalization in Coevolutionary Learning -- Chapter 13 Impact of Problem Structures in Coevolution.
520 $a This book introduces the fundamentals of Coevolutionary Computation and presents new methodologies that are developed and then employed for modern real-world problem-solving in various applications across different domains. It is structured in three main parts to support the anticipated general and frequent usage of the book. In particular, the reader is able to obtain a quick and general introduction on the principles of coevolution in Part I, and then go over in detail the specifics how coevolutionary principles are exploited and applied to solve specific problems in the relevant chapters of Parts II and III. In this manner, Part I will introduce the fundamentals in Coevolutionary Computation with no assumption made on familiarity with Evolutionary Computation literature. These fundamentals include key concepts and operational principles of both evolutionary and coevolutionary processes that are modelled as iterative algorithms and systems implementable in computing machines. Parts II and III contain various applications of coevolution to problems that are framed in the context of optimization and learning, respectively. Detailed procedural implementations are provided for those methodologies as well as analysis that highlight the improvements they bring about over conventional techniques.
650 0 $a Evolutionary computation. $3 231709
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Optimization. $3 274084
700 1 $a Chong, Siang Yew. $3 575467
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Natural computing series. $3 677825
856 4 0 $u https://doi.org/10.1007/978-981-96-2841-4
950 $a Artificial Intelligence (R0) (SpringerNature-85269)