【摘要】 <正> 1.引言遗传算法的基本思想来源于达尔文(Dorwin)的进化论和门德尔(Mendel)的遗传学说。达尔文的进化论认为:每一物种在不断的发展过程中越来越适应环境,在个体的生存与发展中那些适应环境的个体则被保留下来,体现了“适者生存”的原理。与此相应,门德尔的遗传学说则认为:遗传是作为一种指令码封装在每个细胞中,并以基因的形式包含在染色体中。通过基因杂交和基因突变可产生对环境适应强的后代,并通过优胜劣汰的自然选择,适应值高的基因则被保留下来。霍兰德(Holland)等人正是综合了上述两种学说的基本更多还原

【Abstract】 For overcoming the weakness of the population climbing evolutionary algorithm,we design a new algorithm that randomly chooses many parents from the population to recombine and the worse individuals to mutate so as to decrease the size of population, accelerate the convergence rate and improve the performance. The results of numerical experiments including seven non-linear optimization problems show that the new algorithm is characteristic of robust and high efficiency, and can quickly find the global solutions which are better than those got by MATLAB and other methods.更多还原