Introduction to Evolutionary Algorithms
Yu, Xinjie; Gen, Mitsuo
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Description for Introduction to Evolutionary Algorithms
Hardback. Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems. Series: Decision Engineering. Num Pages: 438 pages, 168 black & white illustrations, 15 black & white tables, biography. BIC Classification: GPFC; TBC; TJFM; UGK; UYQ. Category: (P) Professional & Vocational. Dimension: 166 x 241 x 31. Weight in Grams: 802.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2010
Publisher
Springer London Ltd United Kingdom
Number of pages
438
Condition
New
Series
Decision Engineering
Number of Pages
422
Place of Publication
England, United Kingdom
ISBN
9781849961288
SKU
V9781849961288
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Yu, Xinjie; Gen, Mitsuo
Xinjie Yu is an associate professor of the department of electrical engineering at Tsinghua University. He received his PhD in Electrical Engineering from Tsinghua University in 2001. Then he served as a lecturer at Tsinghua University until 2005 and was promoted to the position of associate professor; a role he has held ever since. He was a visiting scholar at ... Read more
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