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

一种求解整体最优效率行为模型的遗传算法
引用本文:万平,赖志柱,吴刚.一种求解整体最优效率行为模型的遗传算法[J].毕节学院学报,2011,29(8):107-111.
作者姓名:万平  赖志柱  吴刚
作者单位:1. 毕节广播电视大学,贵州毕节,551700
2. 毕节学院数学与计算机科学学院,贵州毕节,551700
摘    要:整体最优效率行为模型是基于满足最低期望投资产出和最高投资额的约束,以整体效率最优为目的的一种数学模型。阐述了求解该模型的一种改进的长模式遗传算法,将各个投资活动的效率进行排序,并引入贪婪策略修正各个染色体,采用三种再生算子进行求解,结果表明改进的长模式遗传算法有效。

关 键 词:效率  整体最优效率  长模式遗传算法

An Improved Long Schema Genetic Algorithms Applied to General Optimal Efficiency Behavior Model
WAN Ping,LAI Zhi-zhu,WU Gang.An Improved Long Schema Genetic Algorithms Applied to General Optimal Efficiency Behavior Model[J].Journal of Bijie University,2011,29(8):107-111.
Authors:WAN Ping  LAI Zhi-zhu  WU Gang
Institution:(1.Bijie Radio and Television University,Bijie,Guizhou 551700,China; 2.School of Mathematics and Computer Science of Bijie University,Bijie,Guizhou 551700,China)
Abstract:General Optimal Efficiency Behavior (GOEB) model is based on meeting the expected minimum investment output and highest investment restrictions, for the purpose of the General Optimal Efficiency (GOE) . To solving the model, an improved Long Schema Genetic Algorithms (LSGA) is proposed, which sorting the efficiency of investment activities and using greedy strategy to fix the invalid chromosomes. The results of LSGA with three kinds of reproduced operator showed that more efficiency than the Genetic Algorithms and Greedy Algorithm in reference.
Keywords:Efficiency  General Optimal Efficiency  Long Schema Genetic Algorithms
本文献已被 CNKI 万方数据 等数据库收录!
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