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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ke, Hua Ma, Weimin Ma, Junjie |
| Copyright Year | 2012 |
| Abstract | Project scheduling problem is to determine the schedule of allocating resources to achieve the trade-off between the project cost and the completion time. In real projects, the trade-off between the project cost and the completion time, and the uncertainty of the environment are both considerable aspects for managers. Due to the complex external environment, this paper considers project scheduling problem with coexisted uncertainty of randomness and fuzziness, in which the philosophy of fuzzy random programming is introduced. Based on different ranking criteria of fuzzy random variables, three types of fuzzy random models are built. Besides, a searching approach by integrating fuzzy random simulations and genetic algorithm is designed for searching the optimal schedules. The goal of the paper is to provide a new method for solving project scheduling problem in hybrid uncertain environments. |
| Starting Page | 269 |
| Ending Page | 284 |
| Page Count | 16 |
| File Format | |
| ISSN | 15684539 |
| Journal | Fuzzy Optimization and Decision Making |
| Volume Number | 11 |
| Issue Number | 3 |
| e-ISSN | 15732908 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-04-24 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Project scheduling Fuzzy random programming Fuzzy random simulation Genetic algorithm Operations Research/Decision Theory Optimization Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes Calculus of Variations and Optimal Control; Optimization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Logic Software |
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