A Version of NL-SHADE-RSP Algorithm with Midpoint for CEC 2022 Single Objective Bound Constrained Problems-Reference-Cited by-同舟云学术

A Version of NL-SHADE-RSP Algorithm with Midpoint for CEC 2022 Single Objective Bound Constrained Problems

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Biedrzycki Rafal¹,Arabas Jaroslaw¹,Warchulski Eryk¹

Affiliation:

1. Warsaw University of Technology, Institute of Computer Science,Warsaw,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870220.pdf?arnumber=9870220

Reference28 articles.

1. Improving the search performance of SHADE using linear population size reduction

2. LSHADE algorithm with rank-based selective pressure strategy for solving CEC 2017 benchmark problems;stanovov;2018 IEEE Congress on Evolutionary Computation (CEC),2018

3. A Restart CMA Evolution Strategy With Increasing Population Size

4. A version of IPOP-CMA-ES algorithm with midpoint for CEC 2017 single objective bound constrained problems

5. Tuning differential evolution for cheap, medium, and expensive computational budgets

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