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Comparison of Heuristic Algorithms for the N-Queen Problem

This paper addresses the way in which heuristic algorithms can be used to solve the n-queen problem. Metaheuristics for algorithm simulated annealing, tabu search and genetic algorithm are shown, test results are demonstrated and upper bound complexity is determined. The efficiencies of algorithms are compared and their achievements are measured. Due to the reduction of the fitness function complexity to O(1) problem instances with large dimensions are solved.

n-queen problem; heuristic algorithms; simulated annealing; tabu search; genetic algorithm

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