Please use this identifier to cite or link to this item: 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.

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