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http://hdl.handle.net/10609/63545
Title: | Optimització d'un solucionador de 2048 utilitzant algorismes genètics al núvol |
Author: | Egea i Sala, Marc |
Tutor: | Isern, David |
Others: | Universitat Oberta de Catalunya Ventura, Carles |
Abstract: | This paper describes the attempt to design a solver for 2048, the board game, which only analyzes the current board state, without applying any search technique on future movements. For this purpose, an evaluation function has been designed. This function assigns a numeric value to a board and decides which board elements are more important for the evaluation based on a set of weights received as a parameter. The solver applies this function to all possible moves on every play, and decides in favor of the one with a higher evaluation. |
Keywords: | genetic algorithms cloud computing |
Document type: | info:eu-repo/semantics/bachelorThesis |
Issue Date: | 1-Jun-2017 |
Publication license: | http://creativecommons.org/licenses/by/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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megeasa_presentació.mp4 | 117,59 MB | MP4 | View/Open | |
megeasaTFG0617memòria.pdf | Memòria del treball fi de grau | 852 kB | Adobe PDF | View/Open |
megeasaTFG0617presentació.pdf | Presentació del treball fi de grau | 350,69 kB | Adobe PDF | View/Open |
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