A multiion particle swarm optimization algorithm based on repellent and attraction forces-Reference-Cited by-同舟云学术

A multiion particle swarm optimization algorithm based on repellent and attraction forces

Published:2020-09-04 Issue:5 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhu Shufang¹²,Zhou Shangbo¹²^ORCID,Shang Jiaxing¹²,Wang Limin¹²,Qiang Baohua³

Affiliation:

1. College of Computer Science Chongqing University Chongqing China

2. Key Laboratory of Dependable Service Computing in Cyber‐Physical Society Ministry of Education Chongqing China

3. Computer Images and Graphics Guilin University of Electronic Guilin China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5979

Reference36 articles.

1. Group-based whale optimization algorithm

2. A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm

3. Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control

4. EberhartR KennedyJ. A new optimizer using particle swarm theory. Paper presented at: Proceedings of the Sixth International Symposium on Micro Machine and Human Science MHS'95;1995:39‐43; Nagoya Japan.

5. A discrete invasive weed optimization algorithm for solving traveling salesman problem

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