Fuzzy project scheduling problem and its hybrid intelligent algorithm

被引：57
作者：
Ke, Hua [1 ]
Liu, Baoding [2 ]
机构：
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China
来源：
APPLIED MATHEMATICAL MODELLING | 2010年 / 34卷 / 02期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Project scheduling; Fuzzy programming; Fuzzy simulation; Genetic algorithm; PERT ASSUMPTIONS; COSTS; TIME; NETWORKS; MODELS;
D O I：
10.1016/j.apm.2009.04.011
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Project scheduling problem is to determine the schedule of allocating resources so as to balance the total cost and the completion time. This paper considers a type of project scheduling problem with fuzzy activity duration times. According to some management goals, three types of fuzzy models are built to solve the project scheduling problem. Moreover, the technique of fuzzy simulation and genetic algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy models. Finally, some numerical examples are given to illustrate the effectiveness of the algorithm. (c) 2009 Elsevier Inc. All rights reserved.
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页码：301 / 308
页数：8
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