New PDF release: An O(ND) diffrerence algorithm and its variations

By Myers E.W.

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1989) How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. Proc 3rd International Conf on Genetic Algorithms, Morgan-Kaufmann. J. (1993) Deception Considered Harmful. Foundations of Genetic Algorithms -2-, D. , Morgan Kaufmann. pp: 75-91. Hillis, D. (1990) Co-Evolving Parasites Improve Simulated Evolution as an Optimizing Procedure. Physica D 42, pp 228-234. Holland, J. (1975) Adaptation In Natural and Arti cial Systems. University of Michigan Press. Liepins, G. and Vose, M. (1990) Representation Issues in Genetic Algorithms.

1973) Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Frommann-Holzboog Verland, Stuttgart. D. (1987) Some E ects of Selection Procedures on Hyperplane Sampling by Genetic Algorithms. In, Genetic Algorithms and Simulated Annealing, L. Davis, ed. Pitman. , and Eshelman, L. (1993) Real-Coded Genetic Algorithms and Interval Schemata. Foundations of Genetic Algorithms -2-, D. Whitley, ed. Morgan-Kaufmann. P. (1975) Evolutionsstrategie und numerische Optimierung.

3 Hybrid Algorithms L. \Dave" Davis states in the Handbook of Genetic Algorithms, \Traditional genetic algorithms, although robust, are generally not the most successful optimization algorithm on any particular domain" (1991:59). Davis argues that hybridizing genetic algorithms with the most successful optimization methods for particular problems gives one the best of both worlds: correctly implemented, these algorithms should do no worst than the (usually more traditional) method with which the hybridizing is done.

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An O(ND) diffrerence algorithm and its variations by Myers E.W.


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