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《Journal of South China University of Technology(Natural Science)》 2003-03
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A New Search Algorithm for Global Optimization:Population Migration Algorit hm(I)

Zhou Yong_hua Mao Zong_yuan(College of Automation Science and Engineering, South China Univ. of Tech., Guangzhou 510640, China)  
A comparative study of global function optimization and popu lation migration shows that there are similarities between the two processes. In this paper, a ne w search algor ithm for global optimization-population migration algorithm(PMA) is proposed by the simulation of population migration. The algorithm mainly simulates populat ion t ransition with economics and dispersion with population pressure increment, the former encourages the algorithm to search in a region with good solutions, the l atter avoids getting stuck in a local optimum to a certain degree. Numerical exp eriment proves the global optimization capability of PMA.
【Fund】: 国家自然科学基金资助项目 (5 0 1770 0 9)
【CateGory Index】: O229
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1 CHEN Guang-gui (Yangzhou Institute of Resources and Environment, Yangzhou 225007, China);A Tentative Study on China's Financial Support Rate[J];Modern Economic Science;2003-04
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