| Genetic Algorithms: Concepts and Designs [With Disk] 1999. Corr. 2nd Edition Contributor(s): Man, Kim-Fung (Author), Tang, Kit-Sang (Author), Kwong, Sam (Author) |
|
 |
ISBN: 1852330724 ISBN-13: 9781852330729 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: February 1999 Annotation: The authors provide comprehensive coverage of the techniques, characteristics, advantages, and constraints of genetic algorithms. This second edition also discusses a newly proposed and unique genetic algorithm designed to address the problems in determining system topology. The accompanying disk provides readers with an interactive demonstration program. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electrical - Computers | Programming - General - Computers | Intelligence (ai) & Semantics |
| Dewey: 005.1 |
| LCCN: 98-53817 |
| Series: Advanced Textbooks in Control and Signal Processing |
| Physical Information: 0.94" H x 6.11" W x 9.22" (1.24 lbs) 344 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 the GA are not mathematically oriented. Instead, GA possesses an intrinsic flexibility and the freedom to choose desirable optima according to design specifications. Whether the criteria of concern be nonlinear, constrained, discrete, multimodal, or NP hard, the GA is entirely equal to the challenge. In fact, because of the uniqueness of the evolutionary process and the gene structure of a chromosome, the GA processing mechanism can take the form ofparallelism and multiobjective. These provide an extra dimension for solutions where other techniques may have failed completely. It is, therefore, the aim ofthis booktogather together relevant GA materialthat has already been used and demonstrated in various engineering disciplines. |