||0 of 0 people found the following review helpful.| Concise roadmap.|By Joel|Broad overview of both classic genetic programming and the newer evolution programming on a large set of real world problems.|19 of 23 people found the following review helpful.| Not a good overview text of the subject.|By J. W. Sheppard|I used this book as the primary text for a graduate course on evo|.com |Zbigniew Michalewicz's Genetic Algorithms + Data Structures = Evolution Programs has three sections. The first section is a straightforward introduction to genetic algorithms. In the second section, Michalewicz describes how to apply genetic algor
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 natur...
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