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Titlebook: Genetic Algorithms + Data Structures = Evolution Programs; Zbigniew Michalewicz Book 1996Latest edition Springer-Verlag Berlin Heidelberg

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Trevor A. Thorpe,Claudio Stasollal solutions with the desired precision. One of the implications of these problems was premature convergence of the entire population to a non—global optimum (Chapter 4); other consequences include inability to perform fine local tuning and inability to operate in the presence of nontrivial constraints (Chapters 6 and 7).
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Markus H. Frank,David M. Briscoee traveling salesman problem (TSP) is just one of such applications; however, we treat it as a special problem — the mother of all problems — and discuss it in a separate chapter. What are the reasons?
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Karl-Heinz Küfer,Volker Maag,Jan Schwientekrategies, and genetic programming. There are also many hybrid systems which incorporate various features of the above paradigms, and consequently are hard to classify; anyway, we refer to them just as evolution programs (or evolutionary algorithms, or evolutionary computation techniques).
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Introductions maintain a population of potential solutions, they have some selection process based on fitness of individuals, and some “genetic” operators. One type of such systems is a class of Evolution Strategies i.e., algorithms which imitate the principles of natural evolution for parameter optimization pr
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