Golden sine cosine SALP swarm algorithm for shape matching using atomic potential function-Reference-Cited by-同舟云学术

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Golden sine cosine SALP swarm algorithm for shape matching using atomic potential function

Published:2021-11-23 Issue:2 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Xiang Zhehong¹²,Zhou Guo³⁴,Zhou Yongquan¹²⁴^ORCID,Luo Qifang¹²⁴

Affiliation:

1. College of Artificial Intelligence Guangxi University for Nationalities Nanning China

2. Key Laboratory of Guangxi High Schools Complex System and Computational Intelligence Nanning China

3. Department of Science and Technology Teaching China University of Political Science and Law Beijing China

4. Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning China

Funder

Natural Science Foundation of Guangxi Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12854

Reference100 articles.

1. An improved Opposition-Based Sine Cosine Algorithm for global optimization

2. Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism

3. Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm

4. ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization

5. Training radial basis function networks using biogeography-based optimizer

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