Abstract
The research article examines the three distinguished heuristics approaches for solving the N-Queens problem. The problem is widely recognized as constraint satisfaction problems (CSP) in the domain of Artificial Intelligence. The N-Queens problem demands the non-attacking placements of finite number of queens over chessboard. So that, two or more queens cannot share the horizontal, vertical and diagonal positions in a straight line. In this research work, improved version of Backtracking Recursive Algorithm, modified Min-Conflicts Algorithm and classic Genetic Algorithm are applied to address the problem. The comparative results validate the efficiency of research direction.
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