Modified L-SHADE for Single Objective Real-Parameter Optimization

Jia Fong Yeh, Ting Yu Chen, Tsung Che Chiang

研究成果: 書貢獻/報告類型會議論文篇章

6 引文 斯高帕斯(Scopus)

摘要

In this paper we address single objective real parameter optimization by using differential evolution (DE). L-SHADE is a well-known DE with success history-based adaptation and linear population size reduction. We propose a modified L-SHADE (mL-SHADE), in which three modifications are made: (1) removal of the terminal value, (2) addition of polynomial mutation, and (3) proposal of a memory perturbation mechanism. Performance of the proposed mL-SHADE is verified by using ten benchmark functions in the CEC2019 100-Digit Challenge. The results show that mL-SHADE achieves a higher score than seven state-of-the-art adaptive evolutionary algorithms.

原文英語
主出版物標題2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面381-386
頁數6
ISBN(電子)9781728121536
DOIs
出版狀態已發佈 - 2019 六月
事件2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Wellington, 新西兰
持續時間: 2019 六月 102019 六月 13

出版系列

名字2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

會議

會議2019 IEEE Congress on Evolutionary Computation, CEC 2019
國家/地區新西兰
城市Wellington
期間2019/06/102019/06/13

ASJC Scopus subject areas

  • 計算數學
  • 建模與模擬

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