A hybrid simulated annealing/linear programming approach for the cover printing problem

DOI10.1155/2018/6193649zbMath1427.90130OpenAlexW2888877241MaRDI QIDQ1721187

David Romero, Federico Alonso-Pecina

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/6193649

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

• Ad hoc heuristic for the cover printing problem
• Solving irregular strip packing problems by hybridising simulated annealing and linear program\-ming
• A heuristic for the label printing problem
• Genetic algorithms to solve the cover printing problem
• Using a greedy random adaptative search procedure to solve the cover printing problem
• Embedding of linear programming in a simulated annealing algorithm for solving a mixed integer production planning problem
• Towards an efficient resolution of printing problems
• An optimization model to determine master designs and runs for advertisement printing
• Optimal job splitting on a multi-slot machine with applications in the printing industry
• Tabu Search—Part I
• Linear programming. Foundations and extensions
• Computational Science and Its Applications – ICCSA 2004

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