TY - GEN
T1 - RasID-GA with Simplex Crossover(SPX) for optimization problems
AU - Sohn, Dong Kyu
AU - Mabu, Shingo
AU - Hirasawa, Kotaro
AU - Hu, Jinglu
PY - 2006
Y1 - 2006
N2 - In this paper, we propose RasID-GA (an abbreviation of Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm) which improves the ability of diversification searching with Simplex Crossover (SPX). SPX generates the offspring based on uniform probability distribution and uses the M + 1 number of parent vectors, where M is the dimension of the vector. The RasIDGA with Simplex Crossover is compared with parallel RasIDs and GA with Simplex Crossover using 23 different objective functions having no local minima, a small number of local minima and a large number of local minima.
AB - In this paper, we propose RasID-GA (an abbreviation of Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm) which improves the ability of diversification searching with Simplex Crossover (SPX). SPX generates the offspring based on uniform probability distribution and uses the M + 1 number of parent vectors, where M is the dimension of the vector. The RasIDGA with Simplex Crossover is compared with parallel RasIDs and GA with Simplex Crossover using 23 different objective functions having no local minima, a small number of local minima and a large number of local minima.
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M3 - Conference contribution
AN - SCOPUS:34547335070
SN - 0780394879
SN - 9780780394872
T3 - 2006 IEEE Congress on Evolutionary Computation, CEC 2006
SP - 3021
EP - 3028
BT - 2006 IEEE Congress on Evolutionary Computation, CEC 2006
T2 - 2006 IEEE Congress on Evolutionary Computation, CEC 2006
Y2 - 16 July 2006 through 21 July 2006
ER -