Automated Synthesis of Selection Operators in Genetic Algorithms using Genetic Programming : научное издание

Описание

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.

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Издание

Номера страниц: 13-24

Авторы

  • Sopov E. (Reshetnev Siberian State University of Science and Technology)
  • Semenkin E. (Reshetnev Siberian State University of Science and Technology)

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