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Title: | Efficient approaches for using artificial intelligence snake game in solve the warehouse picking problem | Authors: | Do Nguyen Quoc Trung | Keywords: | Artificial intelligence;Snake game;Warehouse picking problem | Issue Date: | 2021 | Abstract: | This paper presents an algorithm for finding the shortest way in picking path problems through the snake game. Firstly, the snake game is introduced and the algorithms are implemented to play autonomously. Using the implementation of the snake game in the Warehouse layout, we achieve the shortest path to all items in the pick list. Next is an introduction of the application with visualization for practice simulation, here explains the structure of the application with a UML diagram and class diagram. With an in-depth understanding of program structure, we go to the simulation, in this section, the application demonstrates how snake AI can work in warehouse layout as a picker, all items will be packed and delivered to the consolidate section. The proposal of implementation works well but still has room for improvement. |
URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/1273 |
Appears in Collections: | Computer Science (CS) |
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Efficient approaches for using artificial intelligence snake game in solve the warehouse picking problem.pdf | 1.34 MB | Adobe PDF |
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