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Research Paper | Computer Science Engineering | Volume 7 Issue 1, January 2018 | Pages: 1845 - 1848 | Iraq
Solving Job-Shop Scheduling Problem Using a Developed Particle Swarm Optimization Algorithm
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
How to Cite?: Wathiq N. Abdullah, "Solving Job-Shop Scheduling Problem Using a Developed Particle Swarm Optimization Algorithm", Volume 7 Issue 1, January 2018, International Journal of Science and Research (IJSR), Pages: 1845-1848, https://www.ijsr.net/getabstract.php?paperid=ART20179752, DOI: https://dx.doi.org/10.21275/ART20179752