| Document Date: 2014-03-03 03:54:10
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Company Dell / DNC / Elsevier B.V. / Microsoft / / Country Macau / China / / / Facility China The Chinese University of Hong Kong / University of Science / / IndustryTerm good local optimal solutions / search processes / multimodal optimization algorithms / search process / multimodal algorithms / explicit diversity-preserving operator / adaptive elitistpopulation search method / genetic algorithm / optimization algorithm / greedy search / adaptive elitist-population search method / adaptive elitist-population search technique / evolutionary algorithm / elitist search / clonal selection algorithm / population-based search approaches / viral systems / multimodal search strategies / evolutionary algorithms / Elitist crossover operator / search space / search capability / selection operator / adaptive elitistpopulation search technique / multimodal evolutionary algorithms / population search / / OperatingSystem Windows XP / / Organization SCGA AEGA / Macau University of Science and Technology / Chinese University of Hong Kong / Hong Kong / / Person Kwong-Sak Leung / Yong Liang / / Position businessmen / mutation probability Pm / representative / probability Pm / Corresponding author / / ProgrammingLanguage C++ / Visual C++ / / ProvinceOrState Georgia / / Technology multimodal algorithms / ADC / seven algorithms / AEGA algorithm / multimodal optimization algorithms / Pentium-4 2.66G-HZ processor / multimodal evolutionary algorithms / CHC Adaptive Search algorithm / clonal selection algorithm / operating system / distribution algorithms / Introduction Genetic algorithms / optimization algorithm / / URL www.elsevier.com/locate/asoc / /
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Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization