PSO with Gompertz increasing inertia weight

Wakeel Ahmed; Muhammad Faizan Shirazi; Osama Munawar Jamil; Muhammad Hafeez Abbasi; IEEE

doi:10.1109/ICIEA.2013.6566499

Back

Conference proceeding

PSO with Gompertz increasing inertia weight

Wakeel Ahmed, Muhammad Faizan Shirazi, Osama Munawar Jamil, Muhammad Hafeez Abbasi and IEEE

2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp.923-928

06/2013

DOI: https://doi.org/10.1109/ICIEA.2013.6566499

Abstract

Benchmark testing

Clamps

Educational institutions

Equations

Gompertz increasing inertia weight

Mathematical model

Particle swarm optimization

PSO

Standards

This paper implements Standard Particle Swarm Optimization (PSO) and a new algorithm that aims to be better than the classical PSO. An m-file code is used to simulate the Standard Particle Swarm Optimization and it is evaluated using the five well known benchmark functions namely Sphere, Ackley, Rastrigin, Rosenbrock, and Shcwefel's Problem 2.26. A new PSO algorithm known as Gompertz increasing inertia weight (GIIW) is proposed and also implemented as above. The comparison has been simulated with standard PSO. From experiments, it shows that PSO with GIIW gives good performance with quick convergence capability and aggressive movement narrowing towards the solution region.

Metrics

1 Record Views

Details

Title: PSO with Gompertz increasing inertia weight
Creators - without role: Wakeel Ahmed - King Saud University
Muhammad Faizan Shirazi - Kyungpook National University
Osama Munawar Jamil - Swinburne University of Technology
Muhammad Hafeez Abbasi - King Saud University
IEEE
Publication Details: 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp.923-928
Publisher: IEEE
Identifiers: 9952790808331
Academic Unit: King Saud University
Language: English
Resource Type: Conference proceeding