Downloads: 123
Research Paper | Computer Science & Engineering | Iraq | Volume 7 Issue 1, January 2018
Solving Job-Shop Scheduling Problem Using a Developed Particle Swarm Optimization Algorithm
Wathiq N. Abdullah
Abstract: This paper aims to provide an efficient optimization algorithm to solve the problem of job-shop scheduling. PSO has been widely studied in numerous applications for its worthy global searching ability. A new modified of particle swarm optimization algorithm is adopted, which is an extension of the standard particle swarm optimization algorithm (PSO) in order to get a better performance. The improvement technique used is the overcome of the idle particle position. The system used the developed PSO as a search method for an optimal schedule. The experimental results show that the developed PSO performs better than the original PSO.
Keywords: Job-Shop, Scheduling, Particle Swarm, Optimization
Edition: Volume 7 Issue 1, January 2018,
Pages: 1845 - 1848
Similar Articles with Keyword 'Scheduling'
Downloads: 0
Analysis Study Research Paper, Computer Science & Engineering, India, Volume 12 Issue 5, May 2023
Pages: 273 - 278Genetic based Task Scheduling Algorithms in Cloud Computing Environment
Dr. R. Kavitha [3] | Kale Jyoti S.
Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
Comparative Studies, Computer Science & Engineering, United States of America, Volume 13 Issue 2, February 2024
Pages: 1179 - 1185