首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多重群体遗传算法的特点及应用
引用本文:朱红胜.多重群体遗传算法的特点及应用[J].系统工程理论与实践,1997,17(6):79-86.
作者姓名:朱红胜
作者单位:工程兵工程学院军事教研室
摘    要:建立了多重群体遗传算法模型并成功地用于实际研究工作。多重群体遗传算法采用了标准化的独立的基因/染色体模型及由种群和繁殖群体组成的多重群体模型,并采用了积累方式建立初始种群,求解效率和对不同类型问题的适用性有明显的改善和提高。多重群体遗传算法模型求解优化问题的基本过程分为建立初始种群、适应与进化、进化成熟后的处理等内容。

关 键 词:遗传算法  优化  非线性规划  系统分析  
收稿时间:1996-01-16

Features and Applications of Multi Group Genetic Algorithms
Zhu Hongsheng.Features and Applications of Multi Group Genetic Algorithms[J].Systems Engineering —Theory & Practice,1997,17(6):79-86.
Authors:Zhu Hongsheng
Institution:Military Section,Engineering Institute of Engineer,Nanjing 210007
Abstract:The multi group genetic algorithms model was established and applied successfully in this paper.The new model accepted the concepts of the standard and independent gene/chromosome model,the multi group model consisting of the species group and the reproduction group,the accumulating way for establishing the initial species group.The model's working efficiency and adaptability to various kinds of problems are better obviously than that of the common model.The process of solving an optimization problem with the multi group genetic algorithms model consists of the establishment of the initial species group,the adaptation and evolution,the disposal after the evolution's mature and so on. Determining the value of the operators and getting multi peak optimization result were also discussed in this paper.
Keywords:genetic algorithms  optimization  unlinear programming  systematic analysis
本文献已被 CNKI 等数据库收录!
点击此处可从《系统工程理论与实践》浏览原始摘要信息
点击此处可从《系统工程理论与实践》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号