A genetic local tuning algorithm for a class of combinatorial networks design problems

Experimental evidences of many genetic algorithm researchers is that hybridizing a GA with a local search (LS) heuristics is beneficial. It combines the ability of the GA to widely sample a search space with a local search Hill-Climbing ability. This letter presents a genetic local search (GALS) mec...

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Main Authors: Sayoud, H., Takahashi, K., Vaillant, B.
Format: Article
Language:English
Published: 2001
Subjects:
Online Access:http://shdl.mmu.edu.my/2690/
http://shdl.mmu.edu.my/2690/1/1931.pdf
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author Sayoud, H.
Takahashi, K.
Vaillant, B.
author_facet Sayoud, H.
Takahashi, K.
Vaillant, B.
author_sort Sayoud, H.
building MMU Institutional Repository
collection Online Access
description Experimental evidences of many genetic algorithm researchers is that hybridizing a GA with a local search (LS) heuristics is beneficial. It combines the ability of the GA to widely sample a search space with a local search Hill-Climbing ability. This letter presents a genetic local search (GALS) mechanism applied on two stages on the initial genetic population, An elite nondominated set of solutions is selected, an intermediate population (IP) composed of the elite and the improved solutions by natural genetic operators is constructed and then a Nelder and Mead simplex downhill method (SDM) is applied to some solutions of the IF. Experimental results from solving a 20-nodes topology design and capacity assignment (TDCA) problem suggest that our approach provides superior results compared to four simple GA implementations found in the Literature.
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spelling mmu-26902014-02-13T02:37:35Z http://shdl.mmu.edu.my/2690/ A genetic local tuning algorithm for a class of combinatorial networks design problems Sayoud, H. Takahashi, K. Vaillant, B. TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Experimental evidences of many genetic algorithm researchers is that hybridizing a GA with a local search (LS) heuristics is beneficial. It combines the ability of the GA to widely sample a search space with a local search Hill-Climbing ability. This letter presents a genetic local search (GALS) mechanism applied on two stages on the initial genetic population, An elite nondominated set of solutions is selected, an intermediate population (IP) composed of the elite and the improved solutions by natural genetic operators is constructed and then a Nelder and Mead simplex downhill method (SDM) is applied to some solutions of the IF. Experimental results from solving a 20-nodes topology design and capacity assignment (TDCA) problem suggest that our approach provides superior results compared to four simple GA implementations found in the Literature. 2001-07 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2690/1/1931.pdf Sayoud, H. and Takahashi, K. and Vaillant, B. (2001) A genetic local tuning algorithm for a class of combinatorial networks design problems. IEEE Communications Letters, 5 (7). pp. 322-324. ISSN 10897798 http://dx.doi.org/10.1109/4234.935756 doi:10.1109/4234.935756 doi:10.1109/4234.935756
spellingShingle TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Sayoud, H.
Takahashi, K.
Vaillant, B.
A genetic local tuning algorithm for a class of combinatorial networks design problems
title A genetic local tuning algorithm for a class of combinatorial networks design problems
title_full A genetic local tuning algorithm for a class of combinatorial networks design problems
title_fullStr A genetic local tuning algorithm for a class of combinatorial networks design problems
title_full_unstemmed A genetic local tuning algorithm for a class of combinatorial networks design problems
title_short A genetic local tuning algorithm for a class of combinatorial networks design problems
title_sort genetic local tuning algorithm for a class of combinatorial networks design problems
topic TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
url http://shdl.mmu.edu.my/2690/
http://shdl.mmu.edu.my/2690/
http://shdl.mmu.edu.my/2690/
http://shdl.mmu.edu.my/2690/1/1931.pdf