An orthogonal opposition-based-learning Yin–Yang-pair optimization algorithm for engineering optimization-Reference-Cited by-同舟云学术

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An orthogonal opposition-based-learning Yin–Yang-pair optimization algorithm for engineering optimization

Published:2021-01-19 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Wang Wen-chuan^ORCID,Xu Lei,Chau Kwok-wing,Zhao Yong,Xu Dong-mei

Funder

Henan province university scientific and technological innovation team

Young Scientists Fund

Project of key science and technology of the Henan province

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-020-01248-9.pdf

Reference84 articles.

1. Barshandeh S, Haghzadeh M (2020) A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems. Eng Comput. https://doi.org/10.1007/s00366-020-00994-0

2. Gupta S, Deep K (2020) A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons. Appl Intell 50(4):993–1026. https://doi.org/10.1007/s10489-019-01570-w

3. Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008

4. Holland JH (1992) Genetic algorithms. Sci Am 267(1):66–73

5. Storn R, Price K (1997) Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341–359. https://doi.org/10.1023/A:1008202821328

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