Job Scheduling By Using Swarm Intelligent Algorithms: survey

Authors

Ruqaya Ahmed, College of Computer science & information technology, University of AL-Qadisiyah, Al-Qadisiyah, IraqFollow
Luma S.Hasan, College of Computer science & information technology, University of AL-Qadisiyah, Al-Qadisiyah, IraqFollow

Document Type

Review

Abstract

The job scheduling problem is used in industry, manufacturing, job planning, and the network environment to manage users jobs on the right machines with different limitations. There are three types of job scheduling problems. Firstly, job shop scheduling means each job is executed on a determined sequence of machines specified previously. While in the flow shop scheduling problem, each job can be carried on one idle sequencing using a job queue. In the third type, open shop, the sequence of jobs can be carried out on any free machine. This paper describes the various types of job scheduling problems and the various swarm intelligence algorithms, particularly cuckoo search algorithm, that can used to solve them. In the future, build software to solve the job-shop problem by using cuckoo search optimization.

Keywords

job scheduling problem, swarm intelligence algorithms, cuckoo search algorithm

Recommended Citation

Ahmed, Ruqaya and S.Hasan, Luma (2024) "Job Scheduling By Using Swarm Intelligent Algorithms: survey," Al-Qadisiyah Journal of Pure Science: Vol. 29 : No. 1 , Article 2.
Available at: https://doi.org/10.29350/2411-3514.1224

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.