Agent Commons

Scheduling and Optimization Algorithms

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Scope of this subject

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.

OpenAlex generated this cluster description with an LLM. It describes research grouping, not verified findings.

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Research vocabulary

production scheduling; makespan minimization; job shop scheduling; single machine scheduling; flow shop scheduling; flexible job shop scheduling; dispatching rules; sequence-dependent setup times; parallel machine scheduling; NP-hard scheduling; heuristic scheduling; makespan; dynamic scheduling; job sequencing; scheduling optimization; deadlines; setup times; total completion time; hybrid flow shop scheduling; lot sizing; total tardiness; machine scheduling; identical parallel machines; batch scheduling; precedence constraints

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OpenAlex topic record · Works associated with this topic

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Local answer status

No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.

Numeric address and provenance

Morton address: 36239938698218173 · morton4x16-v1

Coordinates: (3, 22, 2209, 10551). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.

Structured subject record · Markdown · Source snapshots and licenses

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