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Man, K.F.; Tang, K.S.; Kwong, S. - Genetic Algorithms - 9781852330729 - V9781852330729
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Genetic Algorithms

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Description for Genetic Algorithms Mixed media pr. This new edition focuses specifically on various concepts and designs of genetic algorithms. It describes a unique genetic algorithm designed to address the problems in determining system topology. It also includes real-world applications to show the complexities of various algorithms. Series: Advanced Textbooks in Control and Signal Processing. Num Pages: 356 pages, 94 black & white illustrations, biography. BIC Classification: PBW; TJ; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 18. Weight in Grams: 580.
Genetic Algorithms (GA) as a tool for a search and optimizing methodology has now reached a mature stage. It has found many useful applications in both the scientific and engineering arenas. The main reason for this success is undoubtedly due to the advances that have been made in solid-state microelectronics fabrication that have, in turn, led to the proliferation of widely available, low cost, and speedy computers. The GA works on the Darwinian principle of natural selection for which the noted English philosopher, Herbert Spencer coined the phrase "Survival of the fittest". As a numerical optimizer, the solutions obtained by ... Read more

Product Details

Publication date
1999
Publisher
Springer London Ltd United Kingdom
Number of pages
356
Condition
New
Series
Advanced Textbooks in Control and Signal Processing
Number of Pages
344
Format
Paperback
Place of Publication
England, United Kingdom
ISBN
9781852330729
SKU
V9781852330729
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Genetic Algorithms
From the reviews: This superb book is suitable for readers from a wide range of disciplines. Assembly Automation 20 (2000) 86   This is a well-written engineering textbook. Genetic algorithms are properly explained and well motivated. The engineering examples illustrate the power of application of genetic algorithms. Journal of the ... Read more

Goodreads reviews for Genetic Algorithms


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