Fast Convergence in Function Optimization Using Modified Velocity Updating in PSO Algorithm

  • Nanda Dulal Jana
  • Tapas Si
  • Jaya Sil
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 199)


In this paper, a new version of Particle Swarm Optimization (PSO) Algorithm has been proposed where the velocity update equation of PSO has been modified. A new term is added withthe original velocity update equation by calculating difference between the global best of swarm and local best of particles. The proposed method is applied on eight well known benchmark problems and experimental results are compared with the standard PSO (SPSO). From the experimental results, it has been observed that the newly proposed PSO algorithm outperforms the SPSO in terms of convergence, speed and quality.


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Dept. of Information TechnologyNational Institute of TechnologyDurgapurIndia
  2. 2.Dept. of Computer Science & EngineeringBankuraUnnayani institute of EngineeringBankuraIndia
  3. 3.Dept. of Computer Science & TechnologyBengal Engineering & Science UniversityHowrahIndia

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