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Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem

Ruqaya Shaban et al · University of Mosul, College of Education for Pure Science · 2010

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ABSTRACT<br /> 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 tile’s move (tiles out of place) in the current and compare with the solution of the problem (goal), without blank’s move. population size chose by the summation of probabilities misplaced tile’s 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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APA 7

al, R. S. E. (2010). Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem. https://doi.org/10.33899/edusj.2010.58405

MLA

al, Ruqaya Shaban et. "Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem." 2010. https://doi.org/10.33899/edusj.2010.58405.

Chicago

al, Ruqaya Shaban et. 2010. "Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem.". https://doi.org/10.33899/edusj.2010.58405.

Harvard

al, R. S. E. 2010, Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2010.58405 [Accessed 8 Aug. 2026].

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Title
Genetic Algorithm to Solve Sliding Tile 8-Puzzle Problem
Author / contributors
Ruqaya Shaban et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2010
ISSN
1812-125X
ISSN
1812-125X
Language
English

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