Improved Sine Cosine Algorithm for Optimization Problems Based on Self-Adaptive Weight and Social Strategy
Author:
Affiliation:
1. Internet of Things Engineering College, Jiangsu Vocational College of Information Technology, Wuxi, China
2. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China
Funder
National Natural Science Foundation of China
Construction of High-Level Professional Groups in Higher Vocational Education in Jiangsu Province
Jiangsu Higher Vocational Education Industry-Education Integration Platform Construction Plan Project
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/ielx7/6287639/10005208/10181307.pdf?arnumber=10181307
Reference37 articles.
1. SCA: A Sine Cosine Algorithm for solving optimization problems
2. An improved sine–cosine algorithm based on orthogonal parallel information for global optimization
3. Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems
4. Reinforcement learning-based modified cuckoo search algorithm for economic dispatch problems
5. An improved sine–cosine algorithm with dynamic selection pressure
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