Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems
Joint Authors
Zhang, Faping
Butt, Shahid Ikramullah
Asgher, Umer
Amjad, Muhammad Kamal
Kousar, Rubeena
Ahmad, Riaz
Agha, Mujtaba Hassan
Anjum, Naveed
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-32, 32 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-28
Country of Publication
Egypt
No. of Pages
32
Main Subjects
Abstract EN
Flexible Job Shop Scheduling Problem (FJSSP) is an extension of the classical Job Shop Scheduling Problem (JSSP).
The FJSSP is known to be NP-hard problem with regard to optimization and it is very difficult to find reasonably accurate solutions of the problem instances in a rational time.
Extensive research has been carried out in this area especially over the span of the last 20 years in which the hybrid approaches involving Genetic Algorithm (GA) have gained the most popularity.
Keeping in view this aspect, this article presents a comprehensive literature review of the FJSSPs solved using the GA.
The survey is further extended by the inclusion of the hybrid GA (hGA) techniques used in the solution of the problem.
This review will give readers an insight into use of certain parameters in their future research along with future research directions.
American Psychological Association (APA)
Amjad, Muhammad Kamal& Butt, Shahid Ikramullah& Kousar, Rubeena& Ahmad, Riaz& Agha, Mujtaba Hassan& Zhang, Faping…[et al.]. 2018. Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-32.
https://search.emarefa.net/detail/BIM-1209597
Modern Language Association (MLA)
Amjad, Muhammad Kamal…[et al.]. Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems. Mathematical Problems in Engineering No. 2018 (2018), pp.1-32.
https://search.emarefa.net/detail/BIM-1209597
American Medical Association (AMA)
Amjad, Muhammad Kamal& Butt, Shahid Ikramullah& Kousar, Rubeena& Ahmad, Riaz& Agha, Mujtaba Hassan& Zhang, Faping…[et al.]. Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-32.
https://search.emarefa.net/detail/BIM-1209597
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209597