(2007) Effective Parallelization of Stochastic Evolution. In: ISDA'07 Conference. (Unpublished)

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Abstract

The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective parallel strategies for a distributed parallel environment. Multiobjective VLSI cell placement is used as the optimization problem. A comprehensive set of parallelization approaches are tested and an effective strategy is identified in terms of two underlying principles: effective workload division and the effect of parallelization on metaheuristic’s search intelligence. The strategies are compared with another similar evolutionary metaheuristic called Simulated Evolution and the interrelation between effective parallelization and algorithm’s intelligence is highlighted using effective parallelization of stochastic evolution, the parallelized version of which has not been presented before.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computer
Department:	College of Computing and Mathematics > Computer Engineering
Depositing User:	KHAWAR SAEED KHAN
Date Deposited:	10 Mar 2008 11:34
Last Modified:	01 Nov 2019 13:23
URI:	http://eprints.kfupm.edu.sa/id/eprint/270