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《Proceedings of the Csee》 2000-11
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A NEW TRANSMISSION NETWORK EXPANSION PLANNING USING IMPROVED GENETIC ALGORITHM BASED ON BORDERLINE SEARCH STRATEGY

YE Zai fu, SHAN Yuan da (Southeast University,Nanjing 210096,China)  
Genetic algorithm(GA)has been proved a powerful tool for global optimality, especially in the multi peaks optimization problem. But it has a weakness in taking too much time to reach a satisfactory solution because of only depending on its' fitness function. Based on standard GA, this paper presents a new improved GA based on borderline search strategy which is used to speed up GAs' search tenor. Practical application of this method proves that it is effective.
【CateGory Index】: TM715
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