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Titlebook: Genetic and Evolutionary Computation — GECCO 2003; Genetic and Evolutio Erick Cantú-Paz,James A. Foster,Julian Miller Conference proceeding

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https://doi.org/10.1007/978-3-030-46547-6variables. To compare the efficiency of our proposed algorithm with other Estimation of Distribution Algorithms (EDAs) we provide the experimental results of the two problems: four peaks problem and bipolar function.
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Marina Kojer,Ursula Gutenthaleris success of the GA is based on the crossover operator . a population whose size is moderately increasing with the dimension of the search space. Here new real royal road functions are presented where crossover leads to a small optimization time, although the GA works with the smallest possible population size — namely 2.
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https://doi.org/10.1007/978-3-642-04860-9earch, and Quad Search. These algorithms are also compared with Evolutionary Strategies. Because of its rapid convergence time, we also use Quad Search to construct a hybrid genetic algorithm. The resulting algorithm is more effective than hybrid genetic algorithms using steepest ascent local search or the RBC next ascent local search algorithm.
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Cellular Programming and Symmetric Key Cryptography Systemshavior of the discovered set of CA rules very high quality PNSs are generated. The quality of PNSs outperform the quality of known one dimensional CA-based PNS generators used in secret key cryptography. The extended set of CA rules which was found makes the cryptography system much more resistant on breaking a cryptography key.
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