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《Journal of Chongqing University of Posts and Telecommunications》 2005-06
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Improved niching genetic algorithm

JIA Xuan-yao~1,WANG Fang~2(1.College of Information,Ningbo Institute of Technology,Zhejiang University,Ningbo 315100,P.R.China;2.School of Business Management,University of East Anglia,Norwich,NR4 7TJ,England)  
Simple Genetic Algorithm(SGA) has the weaknesses of premature convergence and low speed of convergence in later stage then,the improved Genetic Algorithm based on Niche technique shows a better performance because it keeps the population diversity well,but it is more complex than SGA in operation and is more time consuming.This paper presents a new method based on self-adaptive,it can keep the population diversity stable and determine a suitable size of sub population in optimization of multimodal functions,so it can obtain more optimal solution at a much higher speed.The simulation experiment indicates that this new algorithm is efficient,reliable and easy to program.
【Fund】: 浙江大学宁波理工学院青年创新基金资助项目(2004-11)
【CateGory Index】: TP18
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