IJIRCST

1	Title of the Article	Convergence of Hybrid Grey Wolf Optimization with Heuristic Approaches for Enhanced Job Shop Scheduling
2	Author's name	Anugrah Shailay: Research Scholar, Department of Computer Science & Engineering, Gurukul Institute of Engineering and Technology, Kota, India
3	Author's name	Swati Jadon, Ankush Sharma
4	Subject	Computer Science
5	Keyword(s)	Combinatorial Optimization, Hybrid Grey Wolf Optimization Problem, Job Shop Scheduling Problem, Meta-heuristic Algorithm.
6	Abstract	This scholarly inquiry examines the utilization of the Hybrid Grey Wolf Optimization Algorithm (HGWOA) in addressing the Job Shop Scheduling Problem (JSSP), a combinatorial optimization problem commonly encountered within production management. The central aim is to minimize makespan, defined as the cumulative duration necessary to finalize all tasks on a designated set of machines while observing precedence constraints. Conventional Optimization methodologies frequently encounter difficulties with intricate instances of JSSP owing to its NP-hard classification. We introduce a ground-breaking method the Grey Wolf Optimization Algorithm (GWOA) with various meta-heuristic strategies to augment its fruitfulness in resolving JSSP. The multiple findings underscore the usefulness of HGWOA, highlighting its prospective applicability in real-world contexts of production scheduling and management.
7	Publisher	Innovative Research Publication
8	Journal Name; vol., no.	International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-12 Issue-6
9	Publication Date	November 2024
10	Type	Peer-reviewed Article
11	Format	PDF
12	Uniform Resource Identifier	https://ijircst.org/view_abstract.php?title=Convergence-of-Hybrid-Grey-Wolf-Optimization-with-Heuristic-Approaches-for-Enhanced-Job-Shop-Scheduling&year=2024&vol=12&primary=QVJULTEzMjE=
13	Digital Object Identifier(DOI)	10.55524/ijircst.2024.12.6.2 https://doi.org/10.55524/ijircst.2024.12.6.2
14	Language	English
15	Page No	7-11