Solving channel assignment problems using local search methods and simulated annealing
We solve the channel assignment problems (CAPs) with the main objective of minimizing the overall interference level while meeting the channel demand requirements. We use 3 methods, i.e., (1) local search (LS) with an acceptance ratio to re-initialize the search at a predefined threshold; (2) Simula...
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sg-ntu-dr.10356-947132020-03-07T13:24:47Z Solving channel assignment problems using local search methods and simulated annealing Lee, Sally Ng Sa. Hing, Wong Yow. Wang, Lipo. School of Electrical and Electronic Engineering Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering (9th : 2011 : Orlando, USA) DRNTU::Engineering::Electrical and electronic engineering We solve the channel assignment problems (CAPs) with the main objective of minimizing the overall interference level while meeting the channel demand requirements. We use 3 methods, i.e., (1) local search (LS) with an acceptance ratio to re-initialize the search at a predefined threshold; (2) Simulated Annealing (SA); and (3) improve local search (ILS) with two control parameters, namely Restart (RS) and Stop (ST) thresholds. Simulation results on benchmarking CAPs show that these simple methods outperform other more complex heuristics on both the average and minimum cost solutions. Published version 2012-05-23T03:07:02Z 2019-12-06T19:00:56Z 2012-05-23T03:07:02Z 2019-12-06T19:00:56Z 2011 2011 Conference Paper Wang, L., Lee, S. N. S., & Hing, W. Y. (2011). Solving channel assignment problems using local search methods and simulated annealing. Proceedings of SPIE, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 8058. https://hdl.handle.net/10356/94713 http://hdl.handle.net/10220/8133 10.1117/12.884492 en © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX and is made available as an electronic reprint (preprint) with permission of SPIE. The paper can be found at the following official URL: [http://dx.doi.org/10.1117/12.884492]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 8 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Lee, Sally Ng Sa. Hing, Wong Yow. Wang, Lipo. Solving channel assignment problems using local search methods and simulated annealing |
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We solve the channel assignment problems (CAPs) with the main objective of minimizing the overall interference level while meeting the channel demand requirements. We use 3 methods, i.e., (1) local search (LS) with an acceptance ratio to re-initialize the search at a predefined threshold; (2) Simulated Annealing (SA); and (3) improve local search (ILS) with two control parameters, namely Restart (RS) and Stop (ST) thresholds. Simulation results on benchmarking CAPs show that these simple methods outperform other more complex heuristics on both the average and minimum cost solutions. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Lee, Sally Ng Sa. Hing, Wong Yow. Wang, Lipo. |
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Conference or Workshop Item |
author |
Lee, Sally Ng Sa. Hing, Wong Yow. Wang, Lipo. |
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Lee, Sally Ng Sa. |
title |
Solving channel assignment problems using local search methods and simulated annealing |
title_short |
Solving channel assignment problems using local search methods and simulated annealing |
title_full |
Solving channel assignment problems using local search methods and simulated annealing |
title_fullStr |
Solving channel assignment problems using local search methods and simulated annealing |
title_full_unstemmed |
Solving channel assignment problems using local search methods and simulated annealing |
title_sort |
solving channel assignment problems using local search methods and simulated annealing |
publishDate |
2012 |
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https://hdl.handle.net/10356/94713 http://hdl.handle.net/10220/8133 |
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1681045572676485120 |