A bi-level programming model of rough stochastic MRCPSP in large-scale hydropower construction project

被引:0
作者
Zhang Z. [1 ]
Song X. [1 ]
机构
[1] School Economics and Management, Nanjing University of Science and Technology, Nanjing
基金
中国国家自然科学基金;
关键词
Bi-level programming; Multi-mode; Particle swarm optimisation; PSO; RCPSP; Resource constrained project scheduling problem; Rough stochastic parameters;
D O I
10.1504/IJADS.2020.106423
中图分类号
学科分类号
摘要
This paper focuses on developing a bi-level programming model for rough stochastic multi-mode resource constrained project scheduling problem (RS-MRCPSP/bi-level). The metal structure installation project (MSIP) in Wudongde Hydropower Station is considered as the prototype, and then it is extended to be a generalised bi-level MRCPSP. In the upper level, the construction contractor is responsible for the investment on the activity, while the outsourcing partner is in charge of construction and implementation in the lower level. In order to deal with the rough stochastic parameters, the rough stochastic expected value operator is employed. Subsequently, in order to obtain the optimal schedule, an interactive method-based passive congregation particle swarm optimisation (IM-based PCPSO) is designed. Finally, a practical application for MSIP is presented to highlight the practicability of proposed model and solution method. © 2020 Inderscience Enterprises Ltd.
引用
收藏
页码:123 / 152
页数:29
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