Convergence of Hybrid Grey Wolf Optimization with Heuristic Approaches for Enhanced Job Shop Scheduling

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.

Authors and Affiliations

Anugrah Shailay , Swati Jadon , Ankush Sharma

Keywords

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  • EP ID EP753404
  • DOI DOI: 10.55524/ijircst.2024.12.6.2
  • Views 20
  • Downloads 0

How To Cite

Anugrah Shailay, Swati Jadon, Ankush Sharma (2024). Convergence of Hybrid Grey Wolf Optimization with Heuristic Approaches for Enhanced Job Shop Scheduling. International Journal of Innovative Research in Computer Science and Technology, 12(6), -. https://europub.co.uk/articles/-A-753404