佳点集遗传算法在求函数最大值中的应用  

Application of Good Point Set-based Genetic Algorithm to Solution of Function Maximum

作　　者：张涛[1] 刘彩云 崔健[1] ZHANG Tao;LIU Cai-yun;CUI Jian(Department of Information Engineering at Tongling Polytechnic,Tongling Anhui 244061,China;School of Mathematics and Computer Science at Tongling University,Tongling Anhui 244061,China)

机构地区：[1]铜陵职业技术学院信息工程系,安徽铜陵244061 [2]铜陵学院数学与计算机学院,安徽铜陵244061

出　　处：《吉林工程技术师范学院学报》2018年第3期94-96,共3页Journal of Jilin Engineering Normal University

基　　金：铜陵职业技术学院自然科学研究重点项目(KZ2016D002);安徽省高等教育质量工程"名师(大师)工作室--方少卿名师工作室"(2016msgzs074)

摘　　要：在库存管理决策、供应链协调、业务数据特征选择等最优化理论研究中,佳点集遗传算法可有效地帮助解决复杂模型化函数求最大值问题,在研究佳点集遗传算法的基础上,结合实例给出了一个算法模型实践。A practical algorithm model was formulated on the basis of related studies on the good point set-based algorithm as it is believed that such a method is able to effectively help with the solution of the maximum values of complex modelized functions in theoretical optimization studies such as inventory control decision,supply chain coordination and business data feature option,etc.

关 键 词：佳点集遗传算法 函数最大值 最优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]