Fuzzy PSO: A Generalization of Particle Swarm Optimization

S. Abdelshahid; Donald C. Wunsch; Ashraf M. Abdelbar

doi:10.1109/IJCNN.2005.1556004

Fuzzy PSO: A Generalization of Particle Swarm Optimization

S. Abdelshahid
, Donald C. Wunsch
, Ashraf M. Abdelbar

Research output: Contribution to journal › Article › peer-review

Abstract

In standard particle swarm optimization (PSO), the best particle in each neighborhood exerts its influence over other particles in the neighborhood. In this paper, we propose fuzzy PSO, a generalization which differs from standard PSO in the following respect: charisma is defined to be a fuzzy variable, and more than one particle in each neighborhood can have a non-zero degree of charisma, and, consequently, is allowed to influence others to a degree that depends on its charisma. We evaluate our model on the weighted maximum satisfiability (maxsat) problem, comparing performance to standard PSO and to Walk-Sat.

Original language	American English
Journal	Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
DOIs	https://doi.org/10.1109/IJCNN.2005.1556004
State	Published - Jan 1 2005

Keywords

Charisma
Computability
Fuzzy Set Theory
Fuzzy Variable
Particle Swarm Optimisation
Particle Swarm Optimization
Weighted Maximum Satisfiability Problem

Disciplines

Electrical and Computer Engineering

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10.1109/IJCNN.2005.1556004License: Unspecified

Fuzzy PSO A Generalization of Particle Swarm OptimizationFinal published version, 1.21 MBLicense: Unspecified

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title = "Fuzzy PSO: A Generalization of Particle Swarm Optimization",

abstract = " In standard particle swarm optimization (PSO), the best particle in each neighborhood exerts its influence over other particles in the neighborhood. In this paper, we propose fuzzy PSO, a generalization which differs from standard PSO in the following respect: charisma is defined to be a fuzzy variable, and more than one particle in each neighborhood can have a non-zero degree of charisma, and, consequently, is allowed to influence others to a degree that depends on its charisma. We evaluate our model on the weighted maximum satisfiability (maxsat) problem, comparing performance to standard PSO and to Walk-Sat.",

keywords = "Charisma, Computability, Fuzzy Set Theory, Fuzzy Variable, Particle Swarm Optimisation, Particle Swarm Optimization, Weighted Maximum Satisfiability Problem",

author = "S. Abdelshahid and Wunsch, \{Donald C.\} and Abdelbar, \{Ashraf M.\}",

year = "2005",

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doi = "10.1109/IJCNN.2005.1556004",

language = "American English",

journal = "Proceedings of the IEEE International Joint Conference on Neural Networks, 2005",

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T1 - Fuzzy PSO: A Generalization of Particle Swarm Optimization

AU - Abdelshahid, S.

AU - Wunsch, Donald C.

AU - Abdelbar, Ashraf M.

PY - 2005/1/1

Y1 - 2005/1/1

N2 - In standard particle swarm optimization (PSO), the best particle in each neighborhood exerts its influence over other particles in the neighborhood. In this paper, we propose fuzzy PSO, a generalization which differs from standard PSO in the following respect: charisma is defined to be a fuzzy variable, and more than one particle in each neighborhood can have a non-zero degree of charisma, and, consequently, is allowed to influence others to a degree that depends on its charisma. We evaluate our model on the weighted maximum satisfiability (maxsat) problem, comparing performance to standard PSO and to Walk-Sat.

AB - In standard particle swarm optimization (PSO), the best particle in each neighborhood exerts its influence over other particles in the neighborhood. In this paper, we propose fuzzy PSO, a generalization which differs from standard PSO in the following respect: charisma is defined to be a fuzzy variable, and more than one particle in each neighborhood can have a non-zero degree of charisma, and, consequently, is allowed to influence others to a degree that depends on its charisma. We evaluate our model on the weighted maximum satisfiability (maxsat) problem, comparing performance to standard PSO and to Walk-Sat.

KW - Charisma

KW - Computability

KW - Fuzzy Set Theory

KW - Fuzzy Variable

KW - Particle Swarm Optimisation

KW - Particle Swarm Optimization

KW - Weighted Maximum Satisfiability Problem

UR - https://scholarsmine.mst.edu/ele_comeng_facwork/1645

U2 - 10.1109/IJCNN.2005.1556004

DO - 10.1109/IJCNN.2005.1556004

M3 - Article

JO - Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

JF - Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

ER -

Fuzzy PSO: A Generalization of Particle Swarm Optimization

Abstract

Keywords

Disciplines

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