Title :
Adaptive random search with intensification and diversification combined with genetic algorithm
Author :
Sohn, Dongkyu ; Hirasawa, Kotaro ; Hu, Jinglu
Author_Institution :
Graduate Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
Abstract :
A novel optimization method named RasID-GA (an abbreviation of adaptive random search with intensification and diversification combined with genetic algorithm) is proposed in order to enhance the searching ability of conventional RasID, which is a kind of random search with intensification and diversification. RasID-GA is compared with conventional RasID and GA using 23 different objective functions, and it turns out that RasID-GA performs well compared with other methods.
Keywords :
genetic algorithms; search problems; RasID-GA; adaptive random search; diversification; genetic algorithm; intensification; objective functions; optimization method; Evolutionary computation; Genetic algorithms; Genetic mutations; Mathematics; Optimization methods; Probability density function; Production systems; Search methods;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554862
