Title :
An Optimal Design of Genetic Operation
Author :
Wang Xinchun ; Xiao Jixian ; Zhang Qiuna
Author_Institution :
Coll. of Sci., HeBei Polytech. Univ., Tangshan, China
Abstract :
Simple genetic algorithm is prone to premature and has a slow convergence. In view of the above inadequacies, we carried on an optimal design of selection operation and proposed a model of selection operation creatively in this paper. That is the strategy of ultra expectations - compared selection. Besides, we proved its advantages in global optimal solution and convergence speed. It can avoid effectively the premature maturation of genetic algorithm, maintain the diversity of populations and accelerate the solving speed.
Keywords :
convergence; genetic algorithms; convergence speed; genetic algorithm; genetic operation; optimal design; Acceleration; Algorithm design and analysis; Convergence; Educational institutions; Evolution (biology); Genetic algorithms; Genetic mutations; History; Robustness; Wheels;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5363029
