Evaluating the Seeding Genetic Algorithm
نویسندگان
چکیده
In this paper, we present experimental results supporting early work on the Seeding Genetic Algorithm. We evaluate the algorithm’s performance with various parameterisations, making comparisons to the Canonical Genetic Algorithm, and use these as guidelines as we establish reasonable parameters for the seeding algorithm. We discuss how experimental results complement and confirm aspects of the theoretical basis, such as the exclusion of the deleterious mutation operator from the new algorithm. We report on experiments on GA-di cult problems which demonstrate the Seeding Genetic Algorithm’s ability to overcome local optima and systematic deception.
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