Тип публикации: статья из журнала
Год издания: 2018
Ключевые слова: optimization, differential evolution, selective pressure, Mutation rank selection, tournament selection
Аннотация: The paper proposes a modification of Differential Evolution mutation strategies with the introduction of selectivepressure, which is implemented by applying proportional, rank-based and tournament selection. Based on thenew mutation strategies, a new algorithm called LSHADE-SP is proposed, which is a modification of the LSHADEalgorПоказать полностьюithm, with various types of selective pressure implementation. The algorithm is tested against the Congresson Evolutionary Computation (CEC) 2017 competition on real-parameter optimization benchmark functions todemonstrate the advantage of using selective pressure. The comparison shows that applying linear rank, expo-nential rank and tournament selection deliver faster convergence, if a proper selective pressure is applied. Theexperiments were conducted for both classical mutation strategies, likerand/1andbest/1, and the best state-of-the art strategies, with various parameter adaptations. The results demonstrate that the algorithm with selectivepressure is superior to the best state-of-the-art non-hybrid DE algorithms. The resulting algorithm, LSHADE-SP, obtained one of the best results among the algorithms that were winners of the CEC 2017 competition onreal-parameter bound-constrained optimization.
Журнал: Swarm and Evolutionary Computation
Номера страниц: 15
ISSN журнала: 22106502
Издатель: Elsevier BV