A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking

Joint Authors

Hong, Ying-Yi
Beltran, Angelo A.
Paglinawan, Arnold C.

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-08-16

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Civil Engineering

Abstract EN

This work proposes an enhanced particle swarm optimization scheme that improves upon the performance of the standard particle swarm optimization algorithm.

The proposed algorithm is based on chaos search to solve the problems of stagnation, which is the problem of being trapped in a local optimum and with the risk of premature convergence.

Type 1 ′ ′ constriction is incorporated to help strengthen the stability and quality of convergence, and adaptive learning coefficients are utilized to intensify the exploitation and exploration search characteristics of the algorithm.

Several well known benchmark functions are operated to verify the effectiveness of the proposed method.

The test performance of the proposed method is compared with those of other popular population-based algorithms in the literature.

Simulation results clearly demonstrate that the proposed method exhibits faster convergence, escapes local minima, and avoids premature convergence and stagnation in a high-dimensional problem space.

The validity of the proposed PSO algorithm is demonstrated using a fuzzy logic-based maximum power point tracking control model for a standalone solar photovoltaic system.

American Psychological Association (APA)

Hong, Ying-Yi& Beltran, Angelo A.& Paglinawan, Arnold C.. 2016. A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1112463

Modern Language Association (MLA)

Hong, Ying-Yi…[et al.]. A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking. Mathematical Problems in Engineering No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1112463

American Medical Association (AMA)

Hong, Ying-Yi& Beltran, Angelo A.& Paglinawan, Arnold C.. A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1112463

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112463