A Hybrid Genetic Algorithm for Multi-Objective Job Shop Scheduling in Manufacturing Systems

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Observational analysis improves makespan and machine utilization in job shop scheduling, indicating effectiveness of hybrid genetic algorithm.

The hybrid genetic algorithm significantly reduces makespan while improving machine utilization in scheduling.
Key evidence shows that hybrid genetic algorithm outperforms traditional genetic algorithms in optimization tasks.
A tailored approach combining heuristics and local refinement steps enhances the performance of job shop scheduling.
These findings highlight the potential of hybrid methods in addressing complex scheduling challenges effectively.

Thierry Dubois (2023) studied this question.

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Observational analysis improves makespan and machine utilization in job shop scheduling, indicating effectiveness of hybrid genetic algorithm.