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Department of Mathematical Optimization, Braunschweig University of Technology, D38106 Braunschweig, Germany
Higher-dimensional orthogonal packing problems have a wide range of practical applications, including packing, cutting, and scheduling. Combining the use of our data structure for characterizing feasible packings with our new classes of lower bounds, and other heuristics, we develop a two-level tree search algorithm for solving higher-dimensional packing problems to optimality. Computational results are reported, including optimal solutions for all two-dimensional test problems from recent literature.
This is the third in a series of articles describing new approaches to higher-dimensional packing.
IBM Germany, Gustav-Heinemann-Ufer 120/122, D50968 Köln, Germany
Department of Mathematical Optimization, Braunschweig University of Technology, D38106 Braunschweig, Germany
s.fekete{at}tu-bs.de
schepers{at}de.ibm.com
j.van-der-veen{at}tu-bs.de
Subject classifications: production; scheduling; cutting stock; trim.
History: Received May 2000;
revision received November 2005;
accepted April 2006.
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