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عنوان
A Simple Hybrid Particle Swarm Optimization.

پدید آورنده
Wei-Chang Yeh

موضوع
Open Access Collection.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9537619117
(Number (ISBN
9789537619114

NATIONAL BIBLIOGRAPHY NUMBER

Number
b600293

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
A Simple Hybrid Particle Swarm Optimization.
General Material Designation
[Book]
First Statement of Responsibility
Wei-Chang Yeh

.PUBLICATION, DISTRIBUTION, ETC

Name of Publisher, Distributor, etc.
INTECH Open Access Publisher
Date of Publication, Distribution, etc.
2008

SUMMARY OR ABSTRACT

Text of Note
A successful evolutionary algorithm is one with a proper balance between exploration (searching for good solutions), and exploitation (refining the solutions by combining information gathered during the exploration phase). In this study, a new hybrid version of PSO called HPSO is proposed. The HPSO constitutes a vector based PSO method with the linearly varying inertia weight, along with a local search. A novel, simpler, and efficient mechanism is employed to move the gBest to its next position in the proposed HPSO. The HPSO combines the population-based evolutionary searching ability of PSO and local searching behavior to effciently balance the exploration and exploitation abilities. The result obtained by HPSO has been compared with those obtained from traditional simple PSO (SPSO) and improved PSO (IPSO) proposed recently. Computational results show that the proposed HPSO shows an enhancement in searching efficiency and improve the searching quality. In summary, the results presented in this work are encouraging and promising for the application of the proposed HPSO to other complex problems. Further analysis is necessary to see how other soft computing method (e.g., the genetic algorithm, the taboo search, etc.) react to local searches for future researchers who may want to develop their own heuristics and to make further improvements. Our research is still very active and under progress, and it opens the avenues for future efforts in this directions such as: how to adjust parameters, increase success rates, reduce running times, using other local search, and the aggregation of different and new concepts to PSO.

TOPICAL NAME USED AS SUBJECT

Open Access Collection.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Wei-Chang Yeh

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Wei-Chang Yeh

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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