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Author:

Tu, Shanshan (Tu, Shanshan.) | Rehman, Obaid (Rehman, Obaid.) | Rehman, Sadaqat (Rehman, Sadaqat.) | Khan, Shafi (Khan, Shafi.) | Waqas, Muhammad (Waqas, Muhammad.) | Farooq, Ajmal (Farooq, Ajmal.)

Indexed by:

EI Scopus SCIE

Abstract:

Particle swarm optimizer is one of the searched based stochastic technique that has a weakness of being trapped into local optima. Thus, to tradeoff between the local and global searches and to avoid premature convergence in PSO, a new dynamic quantum based particle swarm optimization (DQPSO) method is proposed in this work. In the proposed method a beta probability distribution technique is used to mutate the particle with the global best position of the swarm. The proposed method can ensure the particles to escape from local optima and will achieve the global optimum solution more easily. Also, to enhance the global searching capability of the proposed method, a dynamic updated formula is proposed that will keep a good balance between the local and global searches. To evaluate the merit and efficiency of the proposed DQPSO method, it has been tested on some well-known mathematical test functions and a standard benchmark problem known as Loney's solenoid design.

Keyword:

Index Terms-Design optimization probability distribution searched based technique quantum mechanics

Author Community:

  • [ 1 ] [Tu, Shanshan]Beijing Univ Technol, Dept Comp Sci, Beijing 10024, Peoples R China
  • [ 2 ] [Rehman, Obaid]Sarhad Univ Sci & IT, Dept Elect Engn, Peshawar 25000, Pakistan
  • [ 3 ] [Rehman, Sadaqat]Namal Inst, Dept Comp Sci, Mianwali 42250, Pakistan
  • [ 4 ] [Khan, Shafi]Islamia Coll Univ, Dept Elect, Peshawar 25000, Pakistan
  • [ 5 ] [Waqas, Muhammad]Ghulam Ishaq Khan Inst Engn Sci & Technol, Dept Comp Sci & Engn, Topi 23460, Pakistan
  • [ 6 ] [Farooq, Ajmal]UET Mardan, Dept Elect Engn, Mardan 25000, Pakistan

Reprint Author's Address:

  • [Rehman, Obaid]Sarhad Univ Sci & IT, Dept Elect Engn, Peshawar 25000, Pakistan

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Source :

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL

ISSN: 1054-4887

Year: 2021

Issue: 1

Volume: 36

Page: 35-40

0 . 7 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:87

JCR Journal Grade:4

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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