AhmedNasserabdelkareem/N-Queens

Python Implementation for N-Queen problem using Hill Climbing, Genetic Algorithm, K-Beam Local search and CSP

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Experimental

This project helps solve the classic N-Queens puzzle, a challenge where you place N chess queens on an N×N board without any two queens attacking each other. You input the board size (N), and the project outputs a valid arrangement of queens. It's designed for anyone interested in exploring different artificial intelligence search and optimization algorithms to solve combinatorial problems.

No commits in the last 6 months.

Use this if you are a student or hobbyist studying AI algorithms and want to see how various techniques like Hill Climbing, Genetic Algorithms, or CSP perform on a well-known puzzle.

Not ideal if you are looking for a general-purpose chess engine or a tool to solve complex, real-world optimization problems beyond simple puzzles.

combinatorial-puzzles algorithm-exploration AI-education search-algorithms
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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9

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3

Language

Python

License

Last pushed

Dec 03, 2019

Commits (30d)

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