An EDA for the 2D knapsack problem with guillotine constraint

Author:

Borgulya IstvánORCID

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research

Reference48 articles.

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2. Alvarez-Valdes R, Parreño F, Tamarit JM (2005) A GRASP algorithm for constrained two-dimensional non-guillotine cutting problems. J Oper Res Soc 56:414–425

3. Arenales M, Morabito R (1995) An AND/OR-graph approach to the solution of two dimensional non-guillotine cutting problems. Eur J Oper Res 84:599–617

4. Baluja S (1994) Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Technical Report No. CMU-CS-94-163, Carnegie Mellon University, Pittsburgh, PA

5. Baluja S, Davies S (1997) Using optimal dependency-trees for combinatorial optimization: learning the structure of the search space. In: Proceedings of the international conference on machine learning, pp 30–38

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1. A hybrid estimation of distribution algorithm for the offline 2D variable-sized bin packing problem;Central European Journal of Operations Research;2023-06-04

2. Knapsack problems — An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems;Computers & Operations Research;2022-07

3. A hybrid evolutionary algorithm for the offline Bin Packing Problem;Central European Journal of Operations Research;2020-07-15

4. Constrained two‐dimensional guillotine cutting problem: upper‐bound review and categorization;International Transactions in Operational Research;2019-06-03

5. Editorial;Central European Journal of Operations Research;2019-01-07

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