Multi-Objective Resource Allocation Problem with Simulated Annealing Algorithm
Year
: 2012
Abstract: This paper consider on Multi-objective resource allocation problem (MORAP). To solve a hypothetical MORA problem, simulated annealing algorithm was used. Results showed that simulated annealing is very efficient to solve this problem. At the end of paper we provide results of running the algorithm in various size problems and we conclude simulated annealing can be an appropriate choice to solve a MORAP.
Keyword(s): Simulated annealing algorithm,Multi-objective resource allocation problem,Project management
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Multi-Objective Resource Allocation Problem with Simulated Annealing Algorithm
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| contributor author | منصور قلعه نوی | en |
| contributor author | M. N. Zobeydi | en |
| contributor author | Mansour Ghalehnovi | fa |
| date accessioned | 2020-06-06T13:08:43Z | |
| date available | 2020-06-06T13:08:43Z | |
| date issued | 2012 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3343334 | |
| description abstract | This paper consider on Multi-objective resource allocation problem (MORAP). To solve a hypothetical MORA problem, simulated annealing algorithm was used. Results showed that simulated annealing is very efficient to solve this problem. At the end of paper we provide results of running the algorithm in various size problems and we conclude simulated annealing can be an appropriate choice to solve a MORAP. | en |
| language | English | |
| title | Multi-Objective Resource Allocation Problem with Simulated Annealing Algorithm | en |
| type | Journal Paper | |
| contenttype | External Fulltext | |
| subject keywords | Simulated annealing algorithm | en |
| subject keywords | Multi-objective resource allocation problem | en |
| subject keywords | Project management | en |
| journal title | Texas Journal of Science | fa |
| pages | 109-113 | |
| journal volume | 23 | |
| journal issue | 5 | |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1028728.html | |
| identifier articleid | 1028728 |