title: Multimode resource-constrained multiple project scheduling problem under fuzzy random environment and its application to a large scale hydropower construction project.
abstract: This paper presents an extension of the multimode resource-constrained project scheduling problem for a large scale construction project where multiple parallel projects and a fuzzy random environment are considered. By taking into account the most typical goals in project management, a cost/weighted makespan/quality trade-off optimization model is constructed. To deal with the uncertainties, a hybrid crisp approach is used to transform the fuzzy random parameters into fuzzy variables that are subsequently defuzzified using an expected value operator with an optimistic-pessimistic index. Then a combinatorial-priority-based hybrid particle swarm optimization algorithm is developed to solve the proposed model, where the combinatorial particle swarm optimization and priority-based particle swarm optimization are designed to assign modes to activities and to schedule activities, respectively. Finally, the results and analysis of a practical example at a large scale hydropower construction project are presented to demonstrate the practicality and efficiency of the proposed model and optimization method.
authors.affiliation: State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610064, China ; Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, China.
authors.forename: Jiuping
authors.initials: J
authors.lastname: Xu
authors.affiliation: Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, China.
authors.forename: Cuiying
authors.identifier: 0000-0003-0395-3053
authors.initials: C
authors.lastname: Feng
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical