控制工程
控製工程
공제공정
CONTROL ENGINEERING OF CHINA
2010年
1期
75-79
,共5页
嵌套遗传算法%模糊规则%交叉概率%变异概率
嵌套遺傳算法%模糊規則%交扠概率%變異概率
감투유전산법%모호규칙%교차개솔%변이개솔
nested genetic algorithm%fuzzy rules%crossover probability%mutation probability
针对简单遗传算法(SGA)收敛速度慢和早熟收敛现象,将模糊逻辑理论应用于遗传算法,并采用两级嵌套的遗传算法,随主遗传算法GA1求解优化问题的进化进程用模糊控制的方法自适应地调整遗传算法的交叉概率和变异概率;利用另一个遗传算法GA2优化模糊规则库,实现了一种嵌套式模糊自适应遗传算法(NFAGA).仿真结果表明,这种算法的全局搜索收敛速度和解的质量明显优于SGA和一般的自适应遗传算法(AGA).
針對簡單遺傳算法(SGA)收斂速度慢和早熟收斂現象,將模糊邏輯理論應用于遺傳算法,併採用兩級嵌套的遺傳算法,隨主遺傳算法GA1求解優化問題的進化進程用模糊控製的方法自適應地調整遺傳算法的交扠概率和變異概率;利用另一箇遺傳算法GA2優化模糊規則庫,實現瞭一種嵌套式模糊自適應遺傳算法(NFAGA).倣真結果錶明,這種算法的全跼搜索收斂速度和解的質量明顯優于SGA和一般的自適應遺傳算法(AGA).
침대간단유전산법(SGA)수렴속도만화조숙수렴현상,장모호라집이론응용우유전산법,병채용량급감투적유전산법,수주유전산법GA1구해우화문제적진화진정용모호공제적방법자괄응지조정유전산법적교차개솔화변이개솔;이용령일개유전산법GA2우화모호규칙고,실현료일충감투식모호자괄응유전산법(NFAGA).방진결과표명,저충산법적전국수색수렴속도화해적질량명현우우SGA화일반적자괄응유전산법(AGA).
To the disadvantages such as low convergence rate and premature phenomenon in simple genetic algorithms (SGA),the fuzzy control method is applied into the genetic algorithms to realize a nested fuzzy adaptive genetic algorithm (NFAGA).By using the fuzzy control method,the crossover probabilities and mutation probabilities of genetic algorithms are adjusted with the evolutional process of the main genetic algorithm GA1,and the fuzzy rules of the fuzzy controller is optimized by another genetic algorithm GA2.Simulation results show that the NFAGA's convergence rate and solution quality exceed SGA's and AGA's obviously in the global search.
