This paper proposes an agent-based hybrid tabu-search heuristic (AB-TSH) to solve dynamic flexible job-shop scheduling problems. The solution is fully implemented and tested in an industrial environment for seven distinct dynamic scenarios derived from a static scenario using the benchmark of AIP-PRIMECA Flexible Manufacturing System.
The problem of scheduling uninterruptible shiftable devices is addressed from a multiagent perspective considering two different approaches. On one hand, a centralized architecture assumes that a single agent has the capacity to solve all agents problems. On the other, a new partially decentralized architecture is proposed to solve the same problem by distributing decision-making among agents using an heuristic algorithm with a virtual dynamic tariff as coordination mechanism.
Intelligent Systems 4
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