A New Modified Approach of Mean Particle Swarm Optimization Algorithm

Author

Singh, Navab ; Singh, S.B.

Author_Institution

Dept. of Math., Punjabi Univ. Patiala, Patiala, India

fYear

2013

fDate

27-29 Sept. 2013

Firstpage

296

Lastpage

300

Abstract

In this paper, new modified algorithm MMPSO is presented. Modified Mean Particle Swarm Optimization has been done by updating the direction of each particle in the range of search space [-100, 100]. This modified approach to increase the efficiency and improved the convergence speed of standard particle swarm optimization algorithm. It can be tested on five benchmark problems and comparing the performance of MMPSO with SPSO and MPSO in the term of minimum function value, mean value, standard deviation (S.D.), number of clocks and rate (%) of success.

Keywords

particle swarm optimisation; search problems; SPSO; benchmark problems; mean value; minimum function value; modified MMPSO algorithm; modified mean particle swarm optimization algorithm; search space; standard deviation; standard particle swarm optimization algorithm; Benchmark testing; Equations; Heuristic algorithms; Mathematical model; Optimization; Particle swarm optimization; Standards; Acceleration Coefficient; Global Best Position and Personal Best Position; Inertia Weight; Update Position; Update Velocity;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on

Conference_Location

Mathura

Type

conf

DOI

10.1109/CICN.2013.68

Filename

6658003