International Conference Computational Science

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Research Title: 
Evolutionary Optimization Techniques on Computational Grids
Authors: 
B. Abdalhaq
Authors: 
A. Cortés
Authors: 
T. Margalef
Authors: 
E. Luque
Country: 
Netherlands
Date: 
Sun, 2002-04-21
Research Abstract: 

Optimization of complex objective functions such as environmental models is a compute-intensive task, difficult to achieve by classical optimization techniques. Evolutionary techniques such as genetic algorithms present themselves as the best alternative to solving this problem. We present a friendly optimization framework for complex objective function on a computational grid platform, which allows easy incorporation of new optimization strategies. This framework was developed using the MW library and the Condor system. The framework architecture is described, and a case study of a forest-fire propagation simulator is then analyzed.