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

Rong Zhou (), Chun-ming Ye and Hui-min Ma
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Rong Zhou: University of Shanghai for Science and Technology
Chun-ming Ye: University of Shanghai for Science and Technology
Hui-min Ma: Shanghai electrical college

Chapter Chapter 104 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 991-1001 from Springer

Abstract: Abstract 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.

Keywords: Chaos particle swarm optimization; Dimensionless; Dynamic weighting methods; Multi-objective; Project scheduling (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-3-642-38427-1_104

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