Тип публикации: статья из журнала
Год издания: 2017
Ключевые слова: genetic algorithms, genetic programming, constructive hyper-heuristic, selection operator
Аннотация: Genetic algorithms must be fine-tuned in order to achieve the best results. In this study, we have proposed a new hyper-heuristic based on genetic programming for the automated synthesis of a selection operator in genetic algorithms. Black-Box Optimization Benchmarking is used as a training set and as a test set for estimating the Показать полностьюgeneralization ability of a synthesized selection operator. The results of numerical experiments for benchmark problems and a real-world problem are presented and discussed. The experiments have shown that the proposed approach can be used for designing new selection operators that outperform standard selection operators on average.
Номера страниц: 13-24