Title :
Multi-peak Function Optimization Using a Hierarchical Clustering based Genetic Algorithm
Author :
Song Shan ; Yu Xinjie
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing
Abstract :
A hierarchical clustering genetic algorithm which used hierarchical clustering based fitness sharing method was designed. Special designed inner-species selection and inner-species/inter-species crossover are used to improve the search ability. The results of several benchmark problems show that this algorithm is quite effective at the optimization of multi-peak functions by finding all peaks within the landscape
Keywords :
genetic algorithms; pattern clustering; search problems; genetic algorithm; hierarchical clustering based fitness sharing; innerspecies crossover; innerspecies selection; interspecies crossover; multipeak function optimization; search ability; Algorithm design and analysis; Buildings; Clustering algorithms; Design methodology; Design optimization; Diversity methods; Genetic algorithms; Optimization methods; Power systems; Protection;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.200
