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

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

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Official URL: http://dx.doi.org/10.1109/4234.935756

Abstract

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.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 09 Sep 2011 03:05
Last Modified: 13 Feb 2014 02:37
URI: http://shdl.mmu.edu.my/id/eprint/2690

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