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- W2092267832 abstract "We address in this paper the one dimensional container loading problem (CLP), a NP-hard optimization problem of extreme economic relevance in industrial areas. The problem consists in loading items into containers, then stowing the most profitable containers in a set of compartments. The main objective is to minimize the number of used containers. We state a mathematical model as well as a modified metaheuristic namely the particle swarm optimization approach (PSO) with FFD initialization. Computational results carried out on a large test bed show the effectiveness of the denoted approach depending on the problem settings." @default.
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- W2092267832 date "2013-04-01" @default.
- W2092267832 modified "2023-09-23" @default.
- W2092267832 title "A particle swarm optimization for solving the one dimensional container loading problem" @default.
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- W2092267832 doi "https://doi.org/10.1109/icmsao.2013.6552590" @default.
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