Universiti Teknologi Malaysia Institutional Repository

New particle swarm optimizer with sigmoid increasing inertia weight

Malik , Reza Firsandaya and Abdul Rahman, Tharek and Mohd. Hashim, Siti Zaiton and Ngah, Razali (2007) New particle swarm optimizer with sigmoid increasing inertia weight. International Journal of Computer Science and Security , 1 (6). pp. 35-44.

Full text not available from this repository.

Official URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=...


The inertia weight of particle swarm optimization (PSO) is a mechanism to control the exploration and exploitation abilities of the swarm and as mechanism to eliminate the need for velocity clamping. The present paper proposes a new PSO optimizer with sigmoid increasing inertia weight. Four standard non-linear benchmark functions are used to confirm its validity. The comparison has been simulated with sigmoid decreasing and linearly increasing inertia weight. From experiments, it shows that PSO with increasing inertia weight gives better performance with quick convergence capability and aggressive movement narrowing towards the solution region.

Item Type:Article
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:17094
Deposited By: Liza Porijo
Deposited On:09 Nov 2011 01:16
Last Modified:23 Oct 2017 13:15

Repository Staff Only: item control page