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An Adaptive Hybrid Genetic Algorithm – Simulated Annealing Approach. A New Hybridization Technique Applied to Solving the MAP Problem in Bayesian Belief Networks

Код 1234360

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Аннотация к книге "An Adaptive Hybrid Genetic Algorithm – Simulated Annealing Approach. A New Hybridization Technique Applied to Solving the MAP Problem in Bayesian Belief Networks"

Genetic algorithms (GAs) and simulated annealing (SA) are important search methods. Combining both may improve the search quality, for example by using SA as a genetic operator. One problem in such technique is to find annealing parameters that work for all stages of the run. In this research, we introduce a new adaptive hybrid GA-SA algorithm, in which SA acts as a mutation. However, the SA will be adaptive in the sense that its parameters are evolved during the search. Adaptation should help...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-8383-3529-2
Объём: 176 страниц
Масса: 288 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

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