科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
5期
246-250
,共5页
元胞自动机%遗传算法%精英迁移策略%函数优化%灾难
元胞自動機%遺傳算法%精英遷移策略%函數優化%災難
원포자동궤%유전산법%정영천이책략%함수우화%재난
cellular automata%genetic algorithm%elite migratiion strategy%function optimisation%disturbance
引入灾变机制的元胞遗传算法并非使种族退化,而是尽快摆脱进化迟钝状态,开始新计算的有效手段。实验证明,在灾难区域范围内采用不同的个体植入方法,即采用不同“精英迁移”策略的元胞遗传算法,用于求解复杂多峰函数优化问题,获得了较好的效果。
引入災變機製的元胞遺傳算法併非使種族退化,而是儘快襬脫進化遲鈍狀態,開始新計算的有效手段。實驗證明,在災難區域範圍內採用不同的箇體植入方法,即採用不同“精英遷移”策略的元胞遺傳算法,用于求解複雜多峰函數優化問題,穫得瞭較好的效果。
인입재변궤제적원포유전산법병비사충족퇴화,이시진쾌파탈진화지둔상태,개시신계산적유효수단。실험증명,재재난구역범위내채용불동적개체식입방법,즉채용불동“정영천이”책략적원포유전산법,용우구해복잡다봉함수우화문제,획득료교호적효과。
The cellular genetic algorithm with Disturbances does not make racial degradation, but to get rid of slow evolution of the state as soon as possible to start a new calculation of the effective means. The experimental results show that the implantation method using different individuals within the scope of the disaster area, which was considered as using different‘Elite Migration’Strategy in cellular genectic algorithm, can be used for solving the optimisation problem of complicated function, which gives promising results.