Author

Zijie Tang

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Conference Open access 2026

Job Shop Scheduling Problem Based on an Improved Genetic Algorithm

Experimental results show that the improved algorithm achieves an optimal Makespan value of 190 in dynamic disturbance scenarios and exhibits strong robustness, providing an efficient and feasible solution for job shop scheduling in complex production environments.

Jianguo Du, Chengkun Li, Zijie Tang · ITM Web of Conferences · 0 citations