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- W2166152607 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." @default.
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- W2166152607 date "2012-01-01" @default.
- W2166152607 modified "2023-09-26" @default.
- W2166152607 title "Solving Packing Problems by a Distributed Global Optimization Algorithm" @default.
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- W2166152607 doi "https://doi.org/10.1155/2012/931092" @default.
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