Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering (APITECH) / 2-nd International Scientific and Practical Conference on Borisov's Readings; Siberian Fed Univ, Polytechn Inst, Krasnoyarsk, RUSSIA; Siberian Fed Univ, Polytechn Inst, Krasnoyarsk, RUSSIA
Год издания: 2019
Идентификатор DOI: 10.1088/1742-6596/1399/3/033111
Аннотация: Differential Evolution (DE) is one of the most popular evolution algorithms (EAs) for numerical optimization problems with various difficulty levels. Mutation scheme makes a strong influence in DE performance. It produces new trial vectors based on the current population to improve the previous best-found solution. In this paper, wПоказать полностьюe have analyzed the performance of a wide range of various mutation schemes for early proposed ϵ-CC-SHADE algorithm. We have used scaled benchmark set of constrained large-scale global optimization (cLSGO) problems to investigate ϵ-CC-SHADE performance. The new benchmark set is based on IEEE CEC 2017 Competition on Constrained Real-Parameter Optimization. The experimental results have shown the dependence of EA performance on the selected mutation scheme for solving optimization problems with high dimension. Based on the numerical results, we have made conclusions for choosing mutation scheme to increase DE performance for cLSGO. © Published under licence by IOP Publishing Ltd.
Журнал: Journal of Physics: Conference Series
Выпуск журнала: Vol. 1399, Is. 3
Номера страниц: 33111
ISSN журнала: 17426588
Издатель: Institute of Physics Publishing