Title of article :
Parallel Strategies for Stochastic Evolution
Author/Authors :
Sait, Sadiq M. King Fahd University of Petroleum Minerals - Computer Engineering Department, Saudi Arabia , Khan, Khawar S. King Fahd University of Petroleum Minerals - Computer Engineering Department, Saudi Arabia , Ali, Mustafa I. King Fahd University of Petroleum Minerals - Computer Engineering Department, Saudi Arabia
Abstract :
This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization problem. A comprehensive set of parallelization approaches are tested and an effective strategy is identified in terms of two underlying factors: workload division and the effect of parallelization on metaheuristic s search intelligence. The strategies are compared with parallelization of another similar evolutionary metaheuristic called Simulated Evolution (SimE). The role of the two mentioned underlying factors is discussed in parallelization of StocE.
Keywords :
VLSI cell placement , cluster computing , combinatorial optimization , parallel metaheuristics , simulated evolution , stochastic evolution
Journal title :
Journal of J.UCS (Journal of Universal Computer Science)
Journal title :
Journal of J.UCS (Journal of Universal Computer Science)
