遗传正交试验算法及其应用  

Genetic Orthogonal Algorithm and It's Application

作　　者：薛卫[1] 高卫东[1] 吴有炜[1] 

机构地区：[1]江南大学纺织服装学院,无锡214036

出　　处：《计算机工程与应用》2003年第10期94-96,共3页Computer Engineering and Applications

摘　　要：遗传算法是一种能够在较大的参数空间中搜索到问题最优解的方法,在解决非线性问题时具有全局收敛性,但收敛性能差。论文提出一种结合遗传与正交试验两种算法优点的新混合遗传算法,应用表明该算法收敛能力强、寻优能力强及能产生大量次优解,是一种值得信赖的算法。In big parameter space,genetic algorithm can search out the best results of problem,and has good astringen-cy in evaluating multi-objects nonlinear programming model,but speed of astringency is slower.So a new hybrid genetic algorithm is put forward in this paper,which covers merits of genetic algorithm and orthogonal design method,the re-sults of which show that hybrid genetic algorithm has good ability of convergence in seeking the best plan,and can produce lots of better plans.New hybrid genetic algorithm is an effective and reliant optimum design method.

关 键 词：遗传正交试验算法 多目标优化 遗传模拟退火算法 遗传算法 

分 类 号：O242.23[理学—计算数学]