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- W2526278048 abstract "On the one hand the container loading problem has been widely studied in an effort to reduce logistical costs. On the other hand, automated planning research has as an objective assisting industrial processes by processing a system model and providing a list of actions that will enable the system to get from a given initial state to an objective. This works proposes an approach that combines CLP solving and automated planners to create a system that can execute the entire loading process. The CLP is solved by an improved genetic algorithm and its resulting packing pattern is converted to a format accepted by existing automated planners, whose output is a set of actions which can be executed to carry out the loading of the container." @default.
- W2526278048 created "2016-10-07" @default.
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- W2526278048 date "2016-01-01" @default.
- W2526278048 modified "2023-09-27" @default.
- W2526278048 title "A Genetic Algorithm Approach to the Automated System for Solving the Container Loading Problem" @default.
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- W2526278048 doi "https://doi.org/10.1007/978-3-319-47247-8_16" @default.
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