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Partition → Fixed-order three-machine flexible blocking Complexity open

Model and version
gpt-6-astra
Date
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Research history & proof on GitHub ↗

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Why this question matters

The question isolates assignment complexity after sequencing choices have been removed.

The cited scheduling classification asks about the fixed-order assignment problem. Hardness with variable order or different blocking semantics does not settle the stated model.

The reduction to construct

The source gives positive binary integer weights. A valid output is a subset whose sum is half the total, or NO-SOLUTION if no such subset exists.

The target fixes the job order on three machines and permits varying operation patterns with positive integer processing times. Choose legal operation assignments meeting a makespan bound in the nonpreemptive blocking model, or report NO-SOLUTION.

Construct deterministic polynomial-time maps F and G: F sends every legal source instance to a legal target instance, and G(x,y) is a valid source output for every valid output y of F(x). Preserve the stated threshold, domain and promises. The requested complexity conclusion is NP-hardness for the stated target problem.

Soundness must inspect every assignment mode under operation-level blocking semantics. The proposed theorem is weak hardness and does not cover identical operation patterns.

What a complete answer must include

Give explicit construction and recovery algorithms, a general proof for every legal input and every valid target output, and polynomial runtime and encoding-size bounds. Specify finite output encodings and handle NO-SOLUTION outputs when applicable. Tests compare recovered source outputs with independent source solutions.

References

  1. Computers & Operations Research 184 (2025), 107219 ↗
  2. 2024 preprint ↗

Literature checked 2026-09-16. This summarizes the archived literature search on the date above. Unpublished, unindexed and overlooked work remains outside coverage; no new novelty assessment was performed.