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8 Queens (Genetic Algorithm)

Algorithms & Data StructuresAugust 2022Active
Open-SourcePythonScriptingAlgorithms

The 8 Queens problem is a classic puzzle that involves placing 8 queens on a chessboard such that no two queens threaten each other. This problem is a common example of a constraint satisfaction problem, where the goal is to find a configuration of queens that satisfies a set of constraints. The genetic algorithm is a search algorithm that is inspired by the process of natural selection and genetics. It is used to solve optimization problems, including the 8 Queens problem. The algorithm works by iteratively evolving a population of candidate solutions, using genetic operators such as crossover and mutation, until a satisfactory solution is found. The genetic algorithm is a powerful tool for solving complex problems, and it has been used to solve a wide range of problems in various fields, including computer science, biology, and engineering.

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