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

Belal Al-Khateeb, Wadhah Z. Tareq
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引用次数: 6

Abstract

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.
利用遗传算法、模拟退火和随机化方法求解8皇后问题
本文介绍了求解8*8棋盘中所有92种可能解的随机化方法,以及求解8皇后问题的两种元启发式算法。元启发式算法有遗传算法(GA)和模拟退火算法(SA)。所提出的随机化方法主要依赖于初始化阶段和移动阶段的随机化,用于找到所有解。结果表明,遗传算法和随机化算法的求解效率较高,且均优于随机化算法。此外,还发现SA比GA更好,因为它在寻找解时所需的步骤更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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