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《Journal of Anhui University of Technology and Science(Natural Science)》 2010-04
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Microevolution Algorithm

XU Xiao-jian1,ZHANG Jin-lun2(1.Wuhu Geotechnical and Survey Design Institute,Wuhu 241000,China;2.Coll.Mach.& Auto.Engn.,Anhui Polytechnic University,Wuhu 241000,China)  
According to the accumulated experience and knowledge,human can effectively guide the society to continuously "evolution".Inspired by the combination of processes of convergence and divergence behaviors,a new type of swarm intelligent optimization method named microevolution algorithm is proposed.Simulation experiments were carried out by some benchmark functions.The results show that microevolution algorithm has advantages of high speed,high precision and strong robustness.Moreover,microevolution algorithm requires few control variables and is easy for application.Hence,the microevolution algorithm is a new efficient intelligent optimization algorithm.
【CateGory Index】: TP18
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