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» Heterogeneous Computing and Parallel Genetic Algorithms
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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 2 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
PDP
2007
IEEE
14 years 3 months ago
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations
Heterogeneous networks of workstations have rapidly become a cost-effective computing solution in many application areas. This paper develops several highly innovative parallel al...
Antonio Plaza, David Valencia, Soraya Blazquez, Ja...
EGC
2005
Springer
14 years 2 months ago
A Service Oriented Architecture for Decision Making in Engineering Design
Abstract. Decision making in engineering design can be effectively addressed by using genetic algorithms to solve multi-objective problems. These multi-objective genetic algorithm...
Alex Shenfield, Peter J. Fleming
IPPS
2006
IEEE
14 years 2 months ago
Wrekavoc: a tool for emulating heterogeneity
Computer science and especially heterogeneous distributed computing is an experimental science. Simulation, emulation, or in-situ implementation are complementary methodologies to...
Louis-Claude Canon, Emmanuel Jeannot
CEC
2008
IEEE
14 years 3 months ago
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources
Abstract— In this paper, we study parallelization of multiobjective optimization algorithms on a set of hetergeneous resources based on the Master-Slave model. Master-Slave model...
Sanaz Mostaghim, Jürgen Branke, Andrew Lewis,...