%0 Journal Article
%T On Zooming Genetic Algorithm and its Parallel Realization<br>变焦遗传算法及其并行实现研究
%A Qin Zuxu
%A Zhang Hongyue
%A Chen Yihong
%A <br>覃祖旭
%A 张洪钺
%A 陈一虹
%J 自动化学报
%D 1997
%I 
%X Genetic algorithm (GA) is widely applied to many fields due to its simplicity and adaptability. Generally, the search space and resolution of GA are limited by the string of GA, therefore, the solutions given by GA are usually local results. This paper analyzes the problems in GA and proposes the zooming GA(ZGA), which is suited to sequential and parallel computation. Strategies such as decoded factor, search center, fast mutation, etc. are adopted and the ZGA is realized on a wokrstation and transputers in sequential and parallel manners, respectively.
%K Zooming genetic algorithm(ZGA)
%K decoded factor
%K search center
%K parallel<br>变焦遗传算法
%K 遗传算法
%K 并行处理
%K 算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=9925F95B5B8EBA7A6BFDC5B3B57D172D&yid=5370399DC954B911&vid=EA389574707BDED3&iid=B31275AF3241DB2D&sid=97747634025A5F36&eid=0018E43E61963A72&journal_id=0254-4156&journal_name=自动化学报&referenced_num=3&reference_num=2