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Title: Optimització d'un solucionador de 2048 utilitzant algorismes genètics al núvol
Author: Egea i Sala, Marc
Director: Isern Alarcón, David
Tutor: Ventura Royo, Carles  
Others: Universitat Oberta de Catalunya
Keywords: genetic algorithms
cloud computing
Issue Date: 1-Jun-2017
Publisher: Universitat Oberta de Catalunya
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.
Language: Catalan
Appears in Collections:Bachelor thesis, research projects, etc.

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megeasa_presentació.mp4117.59 MBMP4View/Open
megeasaTFG0617memòria.pdfMemòria del treball fi de grau852 kBAdobe PDFView/Open
megeasaTFG0617presentació.pdfPresentació del treball fi de grau350.69 kBAdobe PDFView/Open

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