Solving channel assignment problem for mobile communication with soft computing
In industry, agriculture and economy, we often encounter constrained optimization problems. One common way to deal with these problems is to transform the constrained optimization problems into unconstrained ones by introducing a penalty function, which is controlled by a number of penalty coefficie...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/4328 |
| _version_ | 1826122357034450944 |
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| author | Gu, Wen |
| author2 | Wang Lipo |
| author_facet | Wang Lipo Gu, Wen |
| author_sort | Gu, Wen |
| collection | NTU |
| description | In industry, agriculture and economy, we often encounter constrained optimization problems. One common way to deal with these problems is to transform the constrained optimization problems into unconstrained ones by introducing a penalty function, which is controlled by a number of penalty coefficients into the objective function.. However, how to set the penally coefficients turns out to be a difficult problem itself [16]! Stochastic ranking is a novel constraint-handling technique proposed by P.T. Runarsson and Xin Yao. Applying this technique for constrained evolutionary make us do not need to determine the hard-setting penalty coefficients. We demonstrate this novel approach with one difficult combinatorial optimization problem, i.e., the channel assignment problem for cellular mobile communications. |
| first_indexed | 2024-10-01T05:47:11Z |
| format | Thesis |
| id | ntu-10356/4328 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:47:11Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/43282023-07-04T17:18:31Z Solving channel assignment problem for mobile communication with soft computing Gu, Wen Wang Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In industry, agriculture and economy, we often encounter constrained optimization problems. One common way to deal with these problems is to transform the constrained optimization problems into unconstrained ones by introducing a penalty function, which is controlled by a number of penalty coefficients into the objective function.. However, how to set the penally coefficients turns out to be a difficult problem itself [16]! Stochastic ranking is a novel constraint-handling technique proposed by P.T. Runarsson and Xin Yao. Applying this technique for constrained evolutionary make us do not need to determine the hard-setting penalty coefficients. We demonstrate this novel approach with one difficult combinatorial optimization problem, i.e., the channel assignment problem for cellular mobile communications. MASTER OF ENGINEERING (EEE) 2008-09-17T09:49:20Z 2008-09-17T09:49:20Z 2005 2005 Thesis Gu, W. (2005). Solving channel assignment problem for mobile communication with soft computing. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4328 10.32657/10356/4328 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Gu, Wen Solving channel assignment problem for mobile communication with soft computing |
| title | Solving channel assignment problem for mobile communication with soft computing |
| title_full | Solving channel assignment problem for mobile communication with soft computing |
| title_fullStr | Solving channel assignment problem for mobile communication with soft computing |
| title_full_unstemmed | Solving channel assignment problem for mobile communication with soft computing |
| title_short | Solving channel assignment problem for mobile communication with soft computing |
| title_sort | solving channel assignment problem for mobile communication with soft computing |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems |
| url | https://hdl.handle.net/10356/4328 |
| work_keys_str_mv | AT guwen solvingchannelassignmentproblemformobilecommunicationwithsoftcomputing |