August 21, 2025SymmetryOpen Access

Research on a Multi-Agent Job Shop Scheduling Method Based on Improved Game Evolution

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Multi-agent scheduling method minimizes AGV idling rate and energy consumption in manufacturing workshops, indicating efficient resource use.

The proposed method reduces maximum completion time significantly, demonstrating improved efficiency in production schedules.
In dynamic scenarios, the method cuts AGV idling rates by up to 77.6%, enhancing operational resource management.
Utilizing a hybrid game-genetic framework, the approach ensures equitable task allocation among agents while balancing resource competition.
This framework potentially transforms manufacturing processes, advocating for smart, optimized scheduling solutions in industrial settings.

Xie et al. (2025) studied this question.

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Multi-agent scheduling method minimizes AGV idling rate and energy consumption in manufacturing workshops, indicating efficient resource use.