A novel optimization method: wave search algorithm-Reference-Cited by-同舟云学术

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A novel optimization method: wave search algorithm

Published:2024-04-17 Issue:12 Volume:80 Page:16824-16859
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zhang Haobin,San Hongjun,Sun Haijie,Ding Lin,Wu Xingmei

Funder

Major Project of Yunnan Provincial Science and Technology Department

Yunnan Fundamental Research Projects

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11227-024-06078-w.pdf

Reference59 articles.

1. Venter G (2010) Review of optimization techniques

2. Ruder S (2016) An overview of gradient descent optimization algorithms. arXiv preprint arXiv:1609.04747

3. Hestenes MR (2005) Conjugate direction methods in optimization. In: Optimization Techniques Part 1: Proceedings of the 8th IFIP Conference on Optimization Techniques Würzburg, September 5–9 1977. Springer, pp 8–27

4. Wright SJ (2015) Coordinate descent algorithms. Math Prog 151(1):3–34

5. Moré JJ, Sorensen DC (1982) Newton’s method. Technical report, Argonne National Lab., IL (USA)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modified crayfish optimization algorithm with adaptive spiral elite greedy opposition-based learning and search-hide strategy for global optimization;Journal of Computational Design and Engineering;2024-07-03

2. Black eagle optimizer: a metaheuristic optimization method for solving engineering optimization problems;Cluster Computing;2024-06-13

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