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《Journal of Beijing Jiaotong University》 2007-06
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A Random Exploring Optimization Algorithm:Wang-Yu Algorithm

FU Guo-qing1,XU Wei-xiang2,LI Xiao-zheng2 (1.School of Information Science and Technology,Hunan Agricultural University,Changsha 410128,China;2.School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China)  
Inspired by the thought of netting fish in our daily life,Wang-Yu Algorithm starts from the most basic characteristics of the random exploring optimization and it ties up two special kinds of data-nets firstly in computer by using the tactics of random moving together.Then Wang-Yu Algorithm realizes the object of random exploring optimization from a new direction by netting orderly in the all range of exploring and promptly observing the situation after netting.From comparing Wang-Yu Algorithm with Genetic Algorithm in test experiment to the typical algorithm test functions,it is shown that the Wang-Yu Algorithm is more general and the more suitable to deal with the problem than Genetic Algorithm when few characteristics about the most excellent object are known before in a problem.
【CateGory Index】: TP301.6
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