Aaron H. Konstam
ABSTRACT
We set out to demonstrate the effectiveness of distributed genetic algorithms using multivariate crossover in optimizing a function of a sizable number of independent variables. Our results show that this algorithm has unique potential in optimizing such functions. The multivariate crossover meta-strategy, however, did not result in a singularly better performance of the algorithm than did simpler crossover strategies.
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Index Terms
- Optimization in a distributed processing environment using genetic algorithms with multivariate crossover
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