Particle Swarm Optimization with Family Communication Strategy

Zhenzhou An; Xiaoyan Wang; Han Wang

Particle Swarm Optimization with Family Communication Strategy

Zhenzhou An * §

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Xiaoyan Wang

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Han Wang

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wangxinyao3

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xlshi

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§ Yuxi Normal University

Particle Swarm Optimization with Family Communication Strategy

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Abstract

Particle swarm optimization (PSO) is a population-based stochastic algorithm for solving complex optimization problems. To raise efficiency and accelerate convergence of PSO, we proposed a new sociological PSO algorithm with family concepts, named as FPSO. Here, family relationships and relative communication strategies were introduced into the conventional PSO algorithm. Two types of family relationships among particles: equal relationship (ER) and generational relationship (GR) were introduced into the communication strategies among family members. The convergent speed and complexity of the proposed FPSO method were analyzed theoretically, and simulated by the IEEE-CEC 2015 learning-based benchmark problems to demonstrate the precision and convergent speed. And, the FPSO performances with ER and GR were separately tested and discussed. The experimental results indicated that the proposed FPSO method could improve the convergence performance, and had stronger judgment ability and intelligence than the conventional PSO method.

References

27 Cites in Article

Reference Format

J Kennedy,R Eberhart (1995). Particle swarm optimization.
Salim Lahmiri,Mounir Boukadoum (2016). Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation.
(2016). Retracted: Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier.
S,Wang Phillips,J Yang,P Sun,Y Zhang (2016). Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients.
Raja Mehmood,Hyo Lee (2016). Emotion recognition from EEG brain signals based on particle swarm optimization and genetic search.
S Chu,F Roddick,J Pan (2005). A parallel particle swarm optimization algorithm with communication strategies.
Chao-Li Sun,Jian-Chao Zeng,Jeng-Shyang Pan (2009). An Improved Particle Swarm Optimization with Feasibility-Based Rules for Constrained Optimization Problems.
P Suganthan (1999). Particle swarm optimizer with neighborhood operator.
J Kennedy,R Mendes (2002). Topological Structure and Particle Swarm Performance.
J Kennedy (1999). Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance.
M Montes De Oca,J P~ena,T Stiiutzle,C Pinciroli,M Dorigo (2009). Heterogeneous Particle Swarm Optimizers.
P Spanevello,M Montes De Oca (2009). Experiments on Adaptive Heterogeneous PSO Algorithms.
M Clerc,J Kennedy (2002). The particle swarm: Explosion, stability, and convergence in a multidimensional complex space.
E Burgess,H Locke (1945). The Family: From Institution to Companionship.
F Van Den,A Berghand,Engelbrecht (2006). A study of particle swarm optimization particle trajectories.
X Fei (1981). Shengyu zhidu (The Regime of Childbirth).
J Liang,B Qu,P Suganthan (2014). Problem Definitions and Evaluation Criteria for the CEC 2015 Competition on Learning-based Real-Parameter Single Objective Optimization.
M Montes De Oca,T Stiiutzle,K Van Den Enden,M Dorigo (2009). Incremental Social Learning in Particle Swarms.
Marco Montes De Oca,Thomas Stützle (2008). Towards incremental social learning in optimization and multiagent systems.
M Montes De Oca,K Van Den Enden,T Stiiutzle (2008). Incremental particle swarm-guided local search for continuous optimization.
C Monson,K Seppi (2006). Adaptive diversity in PSO.
R Eberhart,Y Shi (2007). Computational Intelligence: Concepts to Implementations.
J Kennedy,R Eberhart,Y Shi (2001). Swarm Intelligence.
G Wittemyer,I Douglas-Hamilton,W Getz (2005). The socioecology of elephants: analysis of the processes creating multitiered social structures.
G Wittemyer,W Getz (2007). Hierarchical dominance structure and social organization in African elephants, Loxodonta africana.
Z An,X Shi,J Zhang,J Lu (2011). A Family Particle Swarm Optimization Based on Tree Structure.
Zhenzhou An,Xiaoyan Wang,Xinling Shi (2017). A Study on the Convergence of Family Particle Swarm Optimization.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Zhenzhou An, Xiaoyan Wang, Han Wang, wangxinyao3, xlshi. 2017. "Particle Swarm Optimization with Family Communication Strategy". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 17 (GJCST Volume 17 Issue G1).

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GJCST Volume 17 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

B.4 B.4.1

Submission ReceivedDecember 7, 2016
Peer Review Double Blind
Handling Editor
Accepted December 31, 2016
Published January 15, 2017

Version of record

v1.2

Issue date

September 19, 2017

Language

English

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Article Matrices

Total Score: 175

Country: China

Subject: Global Journal of Computer Science and Technology

Authors: Zhenzhou An, Xiaoyan Wang, Haifeng Wang, Han Wang, Xinling Shi (PhD/Dr. count: 0)

View Count (all-time): 475

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Publish Date: 2017 01, Sun

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Total Views: 1.9K

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