Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing

Joint Authors

Lv, Xueying
Wang, Yitian
Deng, Junyi
Zhang, Guanyu
Zhang, Liu

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-05

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Biology

Abstract EN

In this study, an improved eliminate particle swarm optimization (IEPSO) is proposed on the basis of the last-eliminated principle to solve optimization problems in engineering design.

During optimization, the IEPSO enhances information communication among populations and maintains population diversity to overcome the limitations of classical optimization algorithms in solving multiparameter, strong coupling, and nonlinear engineering optimization problems.

These limitations include advanced convergence and the tendency to easily fall into local optimization.

The parameters involved in the imported “local-global information sharing” term are analyzed, and the principle of parameter selection for performance is determined.

The performances of the IEPSO and classical optimization algorithms are then tested by using multiple sets of classical functions to verify the global search performance of the IEPSO.

The simulation test results and those of the improved classical optimization algorithms are compared and analyzed to verify the advanced performance of the IEPSO algorithm.

American Psychological Association (APA)

Lv, Xueying& Wang, Yitian& Deng, Junyi& Zhang, Guanyu& Zhang, Liu. 2018. Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1130756

Modern Language Association (MLA)

Lv, Xueying…[et al.]. Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1130756

American Medical Association (AMA)

Lv, Xueying& Wang, Yitian& Deng, Junyi& Zhang, Guanyu& Zhang, Liu. Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1130756

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1130756