摘要: 针对遗传算法中交叉概率和变异概率难以选取的问题,提出一种新的自适应遗传算法:利用降半Γ分布函数对交叉概率和变异概率进行自适应调整,使这两个参数随基因串的适合度值而变化.仿真结果表明:该算法与传统遗传算法,常规自适应遗传算法相比,有效地克服了过早收敛问题,提高了搜索效率.
[1] Goldberg D E.Anote on boltzmann tournamentselection for genetic algorithms and population - oriented simulated annealing. Comples System . 1990[2] Srinivas M.Adaptive probability of crossover and mutation in genetic algorithms. I E E E Trans Syst Man Cybern . 1994[3] Alen Varsek,Tanja Urbancic,Bodgan Filipic.Genetic algorithmsin controller desingn and tuning I E E E Transon Sys. Man and Cyber . 1993[4] Joe Suzuki.A Markov chain analysis on simple genetic algorith ms. I E E E Trans on Sys, Man and Cyber . 1995 |
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