Model Research of Multi-Objective and Resource-Constrained Project Scheduling Problem

被引:2
|
作者
Zhou, Rong [1 ]
Ye, Chun-ming [1 ]
Ma, Hui-min [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Management, Shanghai, Peoples R China
[2] Shanghai Elect Coll, Shanghai, Peoples R China
关键词
Chaos particle swarm optimization; Dimensionless; Dynamic weighting methods; Multi-objective; Project scheduling;
D O I
10.1007/978-3-642-38427-1_104
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Keeping the time, cost, quality and resources in balance is the key factor to building the general objective in the engineering project scheduling, which is related to the success or failure of the whole project. The paper first establishes time, expenses, resources and quality objective functions, and then builds comprehensive optimization model by dimensionless and dynamic weighting methods. At last, the paper applies the model into real project case and uses chaos particle swarm optimization to solve the problem. Through the real application example, the article proves that this comprehensive optimization model combining with chaos particle swarm optimization algorithm can solve the multi-objective optimization problems more accurately and rapidly, which gain the ideal effect on construction period cut, cost reduction, quality improvement and resources balance.
引用
收藏
页码:991 / 1001
页数:11
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