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An intelligent scheduling methodology for Reconfigurable Manufacturing Systems (RMS) that integrates Petri Net (PN) modeling with heuristic and metaheuristic optimization techniques that achieves both efficient scheduling and practical industrial applicability is proposed.
A hybrid scheduling framework for Reconfigurable Production Systems (RPS) that integrates Timed Petri Nets (TPNs) with three heuristic optimization algorithms: Genetic Algorithm, Particle Swarm Optimization, and Simulated Annealing is presented.
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