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Solving 8-Queens Problem by Using Genetic Algorithms, Simulated Annealing, and Randomization Method

机译:使用遗传算法,模拟退火和随机化方法求解8女王问题

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This paper introduced two Metaheuristics algorithms for solving 8-queens problem in addition to randomized method for finding all the 92 possible solutions for 8*8 chess board. The Metaheuristics algorithms are Genetic Algorithm (GA) and Simulated Annealing (SA). The proposed randomization method depends mainly on randomization in both the initialization phase and moving phase that is used to find all the solutions. The obtained results were promising as the GA and SA algorithms were efficient in finding the solutions and both are better than the randomization method. Also it has been found that SA was better than the GA as it required less number of steps in finding the solutions.
机译:除了找到8 * 8棋盘的所有92种可能解法的随机方法之外,本文还介绍了两种用于求解8皇后问题的元启发式算法。元启发式算法是遗传算法(GA)和模拟退火(SA)。所提出的随机化方法主要取决于初始化阶段和移动阶段的随机化,该随机化用于找到所有解。遗传算法和SA算法能够高效地找到解决方案,并且均优于随机方法,因此获得的结果是有希望的。此外,还发现SA比GA更好,因为在寻找解决方案时需要较少的步骤。

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