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The convergence of stochastic algorithms solving flow shop scheduling

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Publication:1608340
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DOI10.1016/S0304-3975(01)00293-6zbMath1016.68178OpenAlexW2019687552MaRDI QIDQ1608340

C. K. Wong, K. Steinhöfel, Andreas A. Albrecht

Publication date: 5 August 2002

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-3975(01)00293-6


zbMATH Keywords

convergencesimulated annealingflow shop schedulinglogarithmic cooling schedule


Mathematics Subject Classification ID

Randomized algorithms (68W20)




Cites Work

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  • Rough large deviation estimates for simulated annealing: Application to exponential schedules
  • Stochastic simulations of two-dimensional composite packings
  • The flow shop with parallel machines: A tabu search approach
  • Two simulated annealing-based heuristics for the job shop scheduling problem
  • Metropolis, simulated annealing, and iterated energy transformation algorithms: Theory and experiments
  • Cooling Schedules for Optimal Annealing
  • Job Shop Scheduling by Simulated Annealing
  • The Complexity of Flowshop and Jobshop Scheduling
  • Ordonnancements à contraintes disjonctives
  • Short Shop Schedules
  • On the convergence of inhomogeneous Markov chains approximating equilibrium placements of flexible objects
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