International Journal of Computational Intelligence Systems

Volume 12, Issue 1, November 2018, Pages 426 - 435

CPO: A Crow Particle Optimization Algorithm

Authors
Ko-Wei Huang*, Ze-Xue Wu
Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan
*

Corresponding author. Email: elone.huang@nkust.edu.tw

Received 28 September 2018, Accepted 22 January 2019, Available Online 6 February 2019.
DOI
https://doi.org/10.2991/ijcis.2018.125905658How to use a DOI?
Keywords
Metaheuristic algorithm; Crow search algorithm; Particle swarm optimization; Function optimization; Hybridization algorithm
Abstract

Particle swarm optimization (PSO) is the most well known of the swarm-based intelligence algorithms and is inspired by the social behavior of bird flocking. However, the PSO algorithm converges prematurely, which rapidly decreases the population diversity, especially when approaching local optima. Recently, a new metaheuristic algorithm called the crow search algorithm (CSA) was proposed. The CSA is similar to the PSO algorithm but is based on the intelligent behavior of crows. The main concept behind the CSA is that crows store excess food in hiding places and retrieve it when needed. The primary advantage of the CSA is that it is rather simple, having just two parameters: flight length and awareness probability. Thus, the CSA can be applied to optimization problems very easily. This paper proposes a hybridization algorithm based on the PSO algorithm and CSA, known as the crow particle optimization (CPO) algorithm. The two main operators are the exchange and local search operators. It also implements a local search operator to enhance the quality of the best solutions from the two systems. Simulation results demonstrated that the CPO algorithm exhibits a significantly higher performance in terms of both fitness value and computation time compared to other algorithms.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 1
Pages
426 - 435
Publication Date
2019/02/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2018.125905658How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ko-Wei Huang
AU  - Ze-Xue Wu
PY  - 2019
DA  - 2019/02/06
TI  - CPO: A Crow Particle Optimization Algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 426
EP  - 435
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.125905658
DO  - https://doi.org/10.2991/ijcis.2018.125905658
ID  - Huang2019
ER  -