An Improved Future Search Algorithm Based on the Sine Cosine Algorithm for Function Optimization Problems-Reference-Cited by-同舟云学术

An Improved Future Search Algorithm Based on the Sine Cosine Algorithm for Function Optimization Problems

Published:2023 Issue: Volume:11 Page:30171-30187
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fan Yuqi¹^ORCID,Zhang Sheng¹,Yang Huimin¹,Xu Di¹,Wang Yaping¹

Affiliation:

1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, School of Mechanical and Power Engineering, Ministry of Education, Harbin University of Science and Technology, Harbin, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10076447.pdf?arnumber=10076447

Reference50 articles.

1. Equilibrium optimizer: A novel optimization algorithm

2. The Whale Optimization Algorithm

3. Symbiotic Organisms Search: A new metaheuristic optimization algorithm

4. Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems

5. Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems

Cited by 3 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. Advancing feature ranking with hybrid feature ranking weighted majority model: a weighted majority voting strategy enhanced by the Harris hawks optimizer;Journal of Computational Design and Engineering;2024-05-01

2. Breast Cancer Classification from Histopathological Images using Future Search Optimization Algorithm and Deep Learning;Engineering, Technology & Applied Science Research;2024-02-08

3. An Enhanced Neural Network Algorithm with Quasi-Oppositional-Based and Chaotic Sine-Cosine Learning Strategies;Entropy;2023-08-24