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GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
13 years 10 months ago
Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and Simulated Evolution, identifying the impact of various issues on the effectivene...
Sadiq M. Sait, Syed Sanaullah, Ali Mustafa Zaidi, ...
IPPS
2006
IEEE
13 years 11 months ago
Evaluating parallel simulated evolution strategies for VLSI cell placement
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to well established stochastic heuristics such as SA, TS and GA, with shorter runti...
Sadiq M. Sait, Mustafa I. Ali, Ali Mustafa Zaidi
JUCS
2008
139views more  JUCS 2008»
13 years 4 months ago
Parallel Strategies for Stochastic Evolution
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...
Sadiq M. Sait, Khawar S. Khan, Mustafa Imran Ali
COR
2010
155views more  COR 2010»
13 years 5 months ago
A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands
The Multi-Compartment Vehicle Routing Problem (MC-VRP) consists of designing transportation routes to satisfy the demands of a set of costumers for several products that because o...
Jorge E. Mendoza, Bruno Castanier, Christelle Gu&e...
GEM
2008
13 years 6 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk