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Parallel Stochastic Evolution Algorithms for Constrained Multiobjective Optimization

Sait, Sadiq M. and Khan, Khawar S. and Ali, Mustafa I. and Muhammed, Faheemuddin (2006) Parallel Stochastic Evolution Algorithms for Constrained Multiobjective Optimization. In: SNPD'07. (Unpublished)

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Abstract

Stochastic evolution (StocE) is an evolutionary metaheuristic that has shown to achieve better solution qualities and runtimes when compared to some other well established stochastic metaheuristics. However, unlike these metaheuristics, parallelization of StocE has not been explored before. In this paper, we discuss a comprehensive set of parallel strategies for StocE using a constrained multiobjective VLSI cell placement as an optimization problem. The effectiveness of the proposed strategy is demonstrated by comparing its results with results of parallel SA algorithms on the same optimization problem.



Item Type:Conference or Workshop Item (Paper)
Date:2006
Subjects:Computer
Divisions:College Of Computer Sciences and Engineering > Computer Engineering Dept
Creators:Sait, Sadiq M. and Khan, Khawar S. and Ali, Mustafa I. and Muhammed, Faheemuddin
Email:sadiq@kfupm.edu.sa, khawar@kfupm.edu.sa, mustafa@kfupm.edu.sa, faheem@kfupm.edu.sa
ID Code:277
Deposited By:KHAWAR SAEED KHAN
Deposited On:10 Mar 2008 14:34
Last Modified:12 Apr 2011 13:06

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