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• W607743059 abstract "In the ambit of the operational research the container loading problem is known by optimized the load that it will be carried in a container, taking in consideration the maximum of volume occupied by the load. This problem has several variants for specific cases. Cases exist where the load is homogeneous or heterogeneous, where the load can be rotated in whole its dimensions, where a profit associated to each loaded box exists, among other variants, where the subject is not the load, but the container. The classification of the problem is directly tied up to its restrictions. The study of the container loading problem here in Brazil it began to be accomplished with more emphasis at little time, for having wakened up financial interests in public and private companies, since the transport using containers is onerous and collected by rented container and not for the amount of items that you will be loaded. That the advantage of taking advantage of the volume of the container to the maximum. In the literature it can be found several proposed of solution for each variant of the problem. Being these proposed deterministics or using heuristics and metaheuristics. The study accomplished for the presentation of this dissertation brings in a wide way the heuristics that you are being used in the resolution of the problem, as well as it proposes a new heuristic specialized for the resolution of the container loading problem. The work here presented he still brings a metaheuristic specialized for the resolution of the problem, the Chu-Beasley genetic algorithm. Therefore, two algorithms were developed: a heuristic and a metaheuristic. These algorithms simulated the shipment of a container with rectangular boxes and of different sizes, being in the compared end the obtained results for the two algorithms. The two algorithms here proposed they work in way different from the found in the literature. In this study one of the methods of resolution, the heuristic, proposes a division of the container in four parts: It leaves Main or Main Body of the Container, It Residual Lateral Space, It Space Superior Residual and It Space Residual Frontal and each one of those parts is faced as a new container loading problem. Already the other resolution method told in this study, the genetic algorithm Chu-Beasley, proposes the container loading through towers formed by boxes rectangular. The towers are allocated in the container in a systematic way following rules of decompose of the space of the container. Being the accomplished study has like this as main objective to contribute with researches to ends, defining concepts about the container loading problem and bringing a new heuristic for the resolution of the problem." @default.
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• W607743059 date "2007-02-22" @default.
• W607743059 modified "2023-09-26" @default.
• W607743059 title "Otimização do problema de carregamento de container usando uma metaheurística eficiente" @default.
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