Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem

Section: Article
Published
Sep 1, 2010
Pages
145-157

Abstract

ABSTRACT The research tackled the classical problem in artificial intelligence as 8-puzzle problem with genetic algorithm. The research present the fundamental of genetic algorithm with sliding tile 8-puzzle problem. Starting from current state for state space search into a goal state by depending on the tiles move (tiles out of place) in the current and compare with the solution of the problem (goal), without blanks move. population size chose by the summation of probabilities misplaced tiles move (tiles out of place) in current state comparing with goal state. In this research, depended on the Crossover and mutation for ordered chromosomes method. The experimental in this research show that the algorithm is efficient. The source code is written in Matlab language.

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How to Cite

[1]
R. Zedan Shaban, رقیة, I. Natheer Alkallak, اسراء, M. Mohamad Sulaiman, and مودة, “Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem”, EDUSJ, vol. 23, no. 3, pp. 145–157, Sep. 2010.