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- W2324991507 abstract "A new multiple decision-maker model using bi-level programming is proposed for a resource-constrained project scheduling problem in a fuzzy random environment. In the model, activity duration is assumed to be a fuzzy random variable because of the complex uncertainties in project scheduling problems. The project owner, who is the upper-level decision maker, seeks to maximize profits whereas the lower-level contractor attempts to minimize cost. A global-local-neighbor particle swarm optimization with a fuzzy random simulation is then proposed to solve the advanced model. Finally, a sub-project of Nuozhadu Hydropower Station Construction Project in China is used to illustrate an application of the developed model. A comparison with other approaches is made and the generated results validate the viability and effectiveness of the proposed model and method." @default.
- W2324991507 created "2016-06-24" @default.
- W2324991507 creator A5046629995 @default.
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- W2324991507 date "2014-06-01" @default.
- W2324991507 modified "2023-09-25" @default.
- W2324991507 title "A novel multiple decision-maker model for resource-constrained project scheduling problems" @default.
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- W2324991507 doi "https://doi.org/10.1139/cjce-2013-0232" @default.
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