Genetic Algorithm using the Bimodal Operation to Prevent Prematurity and Reduce Computational Time
A probability associated with population fitness is theoretically derived and used as a parameter in the Genetic Algorithm (GA) to switch the operation modes between the population regeneration,and the genetic operation of crossover and mutation in order to effectively prevent the prematurity and reduce the number of function evaluations.The proposed genetic algorithm using the bimodal operation is employed to search for the global optima of five objective functions,whose results are compared to the conventional GAs using a single operation mode.The simulation results demonstrate that the proposed GA can achieve a better convergence performance than the conventional ones when multimodal objective functions are searched for their global optima.
Genetic Algorithm prematurity global optima objective functions
Ling-Tzu Tseng
Department of Information Management,Chienkuo Technology University No.1,Chieh Shou N.Rd,Changhua City,Taiwan,R.O.C
国际会议
沈阳
英文
1987-1991
2012-09-07（万方平台首次上网日期，不代表论文的发表时间）