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遗传算法在项目进度计划中的应用
引用本文:赵道致,廖华. 遗传算法在项目进度计划中的应用[J]. 工业工程与管理, 2004, 9(6): 54-57
作者姓名:赵道致  廖华
作者单位:天津大学,管理学院,天津,300072;天津大学,管理学院,天津,300072
摘    要:在项目进度计划中,将工序的前后约束关系变换成一个关联矩阵,从可执行的工序集合中随机产生初始化种群,采用改进型的双点交叉算子,并提出了基于关系矩阵的邻位变异算子,避免了不可行个体的产生。文章给出一个3种资源约束的多项目进度计划实例以说明该算法的有效性。

关 键 词:项目进度计划  遗传算法(GA)  资源约束  关联/关系矩阵
文章编号:1007-5429(2004)06-0054-04
修稿时间:2004-01-07

Project Scheduling Using Genetic Algorithms
ZHAO Dao-zhi,LIAO Hua. Project Scheduling Using Genetic Algorithms[J]. Industrial Engineering and Management, 2004, 9(6): 54-57
Authors:ZHAO Dao-zhi  LIAO Hua
Abstract:In project scheduling, the activity precedence constraint was transformed into a relation matrix. The initialization group was created randomly from a executable activity set, an improving two-point crossover algorithm was used. And proposed a neighborhood locus mutation based on a dependence matrix, which avoids the appearance of illegal individuals. To prove its good performance, an example with three resources constraint is illustrated.
Keywords:project scheduling  genetic algorithms  resource constraint  relation/dependence matrix
本文献已被 CNKI 维普 万方数据 等数据库收录!
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