Physical Sciences › Génie / Ingénierie › Génie industriel et manufacturier › Algorithmes d'ordonnancement et d'optimisation

Algorithmes d'ordonnancement et d'optimisation

This cluster of papers focuses on scheduling problems in manufacturing systems, particularly addressing issues such as setup times, batching, dynamic scheduling, energy efficiency, and multi-objective optimization. It explores various techniques including genetic algorithms, agent-based control, and hybrid optimization to improve scheduling efficiency and effectiveness in manufacturing processes.

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