Title: Solving Packing Problems by a Distributed Global Optimization Algorithm
Authors: Hu, Nian-Ze
Li, Han-Lin
Tsai, Jung-Fa
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
Issue Date: 2012
Abstract: "Packing optimization problems aim to seek the best way of placing a given set of rectangular boxes within a minimum volume rectangular box. Current packing optimization methods either find it difficult to obtain an optimal solution or require too many extra 0-1 variables in the solution process. This study develops a novel method to convert the nonlinear objective function in a packing program into an increasing function with single variable and two fixed parameters. The original packing program then becomes a linear program promising to obtain a global optimum. Such a linear program is decomposed into several subproblems by specifying various parameter values, which is solvable simultaneously by a distributed computation algorithm. A reference solution obtained by applying a genetic algorithm is used as an upper bound of the optimal solution, used to reduce the entire search region."
URI: http://hdl.handle.net/11536/16770
ISSN: 1024-123X
DOI: 931092
Appears in Collections:Articles

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