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Average runtime (s) and gaps of algorithms on problem instances of varying scales.

Average runtime (s) and gaps of algorithms on problem instances of varying scales.

<p>Average runtime (s) and gaps of algorithms on problem instances of varying scales.</p>

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Bibliografiske detaljer
Hovedforfatter: Panfei Li (22379086) (author)
Andre forfattere: Chongxing Ji (22379089) (author)
Udgivet: 2025
Fag:
Biotechnology
Sociology
Space Science
Information Systems not elsewhere classified
significant technological innovation
rigorous linearization theorem
rapid solution screening
improving solution quality
enhanced benders decomposition
enhanced benders cuts
balancing master problem
assembly line marked
ablation studies confirm
numerous manufacturing enterprises
heuristic infeasibility proof
8 %, 69
collaborative task execution
manufacturing industry
infeasibility analysis
2 %,
xlink ">
world instances
station revisitation
production system
process assignment
position machines
paper introduces
novel np
loop topology
local branching
handling spatio
extensively adopted
dimensional complexity
checking subproblem
addressing worker
7 %.
60 real
3 %.
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Lignende værker

  • Computational runtime of different algorithms on individual problem instances.
    af: Panfei Li (22379086)
    Udgivet: (2025)
  • Average objectives and optimality gaps of algorithms on problem instances of varying scales.
    af: Panfei Li (22379086)
    Udgivet: (2025)
  • Computational runtime of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large.
    af: Panfei Li (22379086)
    Udgivet: (2025)
  • Objective function values of different algorithms on individual problem instances.
    af: Panfei Li (22379086)
    Udgivet: (2025)
  • Problem instances scale (|P|: process size, |S|: station size, |W|: worker size, MC: maximum cycle count).
    af: Panfei Li (22379086)
    Udgivet: (2025)

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