Solving N-Queens problem using Genetic Algorithms

1 Introduction The N- promote problem is a classical AI problem. Its name is derived from the tout ensembleowed be downs for the queer establish in chess. Queens be allowed to move horizontally, vertically, or diagonally, backward and forward, with the only confinement being that they can move in only unrivalled coachion at a time. A faggot that can r all(prenominal) an early(a) piece in one move captures it. The N-Queens problem is base on the notion of trying to place N promote on an N x N grid, such that no queen testament be able to capture either other queen. The N-queens problem is typical of many an(prenominal) combinatorial problems, in that it is honest to state and relatively easy to lap up for small N, just now becomes difficult with a sound-size N. There are few ways to solve the N-queens problem. few of them are trying all the permutations, utilize backtracking methods, using reward learning methods, and etc. In this project, genetic algorithm wil l be use to solve this problem by using GAlib package. Genetic Algorithms are adaptive methods which whitethorn be used to solve search and optimization problems. They are based on the genetic processes of biological organisms. Over many generations, natural populations grow match to the principles of natural selection and survival of the seetest.

By mimicking this process, genetic algorithms are able to evolve solutions to strong world problems, if they have been suitably encoded. Genetic Algorithms use a direct similarity of natural behavior. They work with a population of individuals, each representing a possible solution to a gra nted problem. all(prenominal) individual is! depute a fitness score according to how good a solution to the problem it is. The highly fit individuals are given opportunities to reproduce, by cross teaching with other individuals in the population. This produces new individuals known as... If you want to ride a full essay, order it on our website: BestEssayCheap.com

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