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Evolutionary computation and complex...

Abbass, Hussein A.

Evolutionary computation and complex networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary computation and complex networksby Jing Liu, Hussein A. Abbass, Kay Chen Tan.
作者:	Liu, Jing.
其他作者:	Abbass, Hussein A.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xix, 148 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Evolutionary computation.
電子資源:	https://doi.org/10.1007/978-3-319-60000-0
ISBN:	9783319600000$q(electronic bk.)

Evolutionary computation and complex networks
Liu, Jing.

Evolutionary computation and complex networks[electronic resource] /by Jing Liu, Hussein A. Abbass, Kay Chen Tan. - Cham :Springer International Publishing :2019. - xix, 148 p. :ill., digital ;24 cm.

Part 1: Background -- Evolutionary Computation -- Complex Networks -- Part 2: Using Complex Networks to Analyze Evolutionary Algorithms -- Evolutionary Dynamics on Complex Networks -- Problem Difficulty Prediction based on Complex Networks -- Network-based Problem Difficulty Prediction Measures -- Part 3: Using Evolutionary Algorithms to Solve Problems in Complex Networks -- Evolutionary Community Detection Algorithms -- Evolving Robust Networks using Evolutionary Algorithms -- Other Optimization Problems in Complex Networks.

This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms.The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks. Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively; Provides novel and efficient computational problem solving techniques that require little computer memory; Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.

ISBN: 9783319600000$q(electronic bk.)

Standard No.: 10.1007/978-3-319-60000-0doiSubjects--Topical Terms:

231709
Evolutionary computation.

LC Class. No.: TA347.E96 / L585 2019

Dewey Class. No.: 006.3823

Evolutionary computation and complex networks
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505 0 $a Part 1: Background -- Evolutionary Computation -- Complex Networks -- Part 2: Using Complex Networks to Analyze Evolutionary Algorithms -- Evolutionary Dynamics on Complex Networks -- Problem Difficulty Prediction based on Complex Networks -- Network-based Problem Difficulty Prediction Measures -- Part 3: Using Evolutionary Algorithms to Solve Problems in Complex Networks -- Evolutionary Community Detection Algorithms -- Evolving Robust Networks using Evolutionary Algorithms -- Other Optimization Problems in Complex Networks.
520 $a This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms.The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks. Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively; Provides novel and efficient computational problem solving techniques that require little computer memory; Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.
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