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Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.
The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation. |
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 |  | Catamarans: The Complete Guide for Cruising Sailors
The modern cruising catamaran has arrived
The arguments are over and the verdict is in--cruising catamarans comprise a rapidly growing percentage of the cruising fleet worldwide. Their advantages of space, stability, speed, and handling under power are truly compelling, and modern cats are every bit as reliable as monohulls.... | | Creativity in Public Relations (PR in Practice)
Creative input is inevitably required of the PR practitioner, and yet many PR practitioners lack a real understanding of the creative process. Creativity in Public Relations addresses this situation. It guides the reader through a range of techniques and tips for generating creative ideas, as described by the "five I's" ... |
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