TY - GEN
T1 - Adaptive random search with intensification and diversification combined with genetic algorithm
AU - Sohn, Dong Kyu
AU - Hirasawa, Kotaro
AU - Hu, Jinglu
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=27144520227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=27144520227&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:27144520227
SN - 0780393635
T3 - 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
SP - 1462
EP - 1469
BT - 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
T2 - 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
Y2 - 2 September 2005 through 5 September 2005
ER -