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《Power System Technology》 2006-15
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Application of Improved Ant Colony Optimization Algorithm in Distribution Network Planning

SUN Wei,SHANG Wei,NIU Dong-xiao(Department of Business And Administration,North China Electric Power University,Baoding 071003,Hebei Province,China)  
Traditional ant colony algorithm is modified in the aspects of transition probability and dynamic updating mechanism sociohormone.In the design of transition probability the gang control of two parameters is adopted to implement the Dorigo and Maniezzo's conception proposed in the year of 1992.The dynamic updating mechanism of sociohormone makes the weight of sociohormone varied with the increment of iteration times,so the all-round and speedy search in whole feasible region is realized and the defects of low training efficiency and easy to fall into local minimum in traditional ant colony algorithm are remedied.The result of distribution network optimization shows that the modified algorithm is effective.
【CateGory Index】: TM715
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