Keywords:Genetic Algorithm, Evolutionary Computation, Combinatorial Optimization, Bayesian Optimization Algorithm
In genetic algorithm(GA), it is considered important to preserve the distribution of the population by designing a crossover which inherits the good parental feature and generation alternation model which maintains the diversity of population. However, there are no general GAs which used in combinatorial optimization problems, even though it can be used in functional optimization problems by preserving statistics. In this study, we propose a new framework of GA using bayesian networks inspired by Bayesian Optimization Algorithm(BOA). The results show that the proposed method can be expected to be a general algorithm in combinatorial optimization problems.
Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.