N Queen Problem using Genetic Algorithm

Overview

N-Queen-Problem-using-Genetic-Algorithm

The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other. For example, following is a solution for 8 Queen problem.

00

The 8 queens problem is simple. On an 8x8 chess board, the queen can move any number of squares horizontally, vertically, and diagonally. Normally, there is one queen per side on the board but for this problem, there are 8. This can be generalized to N queens on an NxN board. The goal is to place 8 queens on the board such that every pair of queens aren’t attacking each other. In the picture above, you can see that every queen is not in the line of sight of another queen. Here’s an example of a board state that is not the solution:

11

The pair of queens on the 4th and 7th columns are attacking each other diagonally.

An example of exacution:

33

Owner
Mahdi Hassanzadeh
I am a computer engineering student at University of Tabriz. I Interested in artificial intelligence and I am a Web developer
Mahdi Hassanzadeh
This repository provides some codes to demonstrate several variants of Markov-Chain-Monte-Carlo (MCMC) Algorithms.

Demo-of-MCMC These files are based on the class materials of AEROSP 567 taught by Prof. Alex Gorodetsky at University of Michigan. Author: Hung-Hsiang

Sean 1 Feb 05, 2022
This is a Python implementation of the HMRF algorithm on networks with categorial variables.

Salad Salad is an Open Source Python library to segment tissues into different biologically relevant regions based on Hidden Markov Random Fields. The

1 Nov 16, 2021
Rover. Finding the shortest pass by Dijkstra’s shortest path algorithm

rover Rover. Finding the shortest path by Dijkstra’s shortest path algorithm Задача Вы — инженер, проектирующий роверы-беспилотники. Вам надо спроекти

1 Nov 11, 2021
Minimal pure Python library for working with little-endian list representation of bit strings.

bitlist Minimal Python library for working with bit vectors natively. Purpose This library allows programmers to work with a native representation of

Andrei Lapets 0 Jul 25, 2022
sudoku solver using CSP forward-tracking algorithms.

Sudoku sudoku solver using CSP forward-tracking algorithms. Description Sudoku is a logic-based game that consists of 9 3x3 grids that create one larg

Cindy 0 Dec 27, 2021
Using Bayesian, KNN, Logistic Regression to classify spam and non-spam.

Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy

0 Dec 26, 2021
Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life.

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generatio

Mahdi Hassanzadeh 4 Dec 24, 2022
This is the code repository for 40 Algorithms Every Programmer Should Know , published by Packt.

40 Algorithms Every Programmer Should Know, published by Packt

Packt 721 Jan 02, 2023
Nature-inspired algorithms are a very popular tool for solving optimization problems.

Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo

NiaOrg 215 Dec 28, 2022
A custom prime algorithm, implementation, and performance code & review

Colander A custom prime algorithm, implementation, and performance code & review Pseudocode Algorithm 1. given a number of primes to find, the followi

Finn Lancaster 3 Dec 17, 2021
A lightweight, pure-Python mobile robot simulator designed for experiments in Artificial Intelligence (AI) and Machine Learning, especially for Jupyter Notebooks

aitk.robots A lightweight Python robot simulator for JupyterLab, Notebooks, and other Python environments. Goals A lightweight mobile robotics simulat

3 Oct 22, 2021
A priority of preferences for teacher assignment problem

Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst

hades 2 Oct 31, 2022
Dynamic Programming-Join Optimization Algorithm

DP-JOA Join optimization is the process of optimizing the joining, or combining, of two or more tables in a database. Here is a simple join optimizati

Haoze Zhou 3 Feb 03, 2022
A Python library for simulating finite automata, pushdown automata, and Turing machines

Automata Copyright 2016-2021 Caleb Evans Released under the MIT license Automata is a Python 3 library which implements the structures and algorithms

Caleb Evans 219 Dec 12, 2022
A genetic algorithm written in Python for educational purposes.

Genea: A Genetic Algorithm in Python Genea is a Genetic Algorithm written in Python, for educational purposes. I started writing it for fun, while lea

Dom De Felice 20 Jul 06, 2022
Fedlearn algorithm toolkit for researchers

Fedlearn algorithm toolkit for researchers

89 Nov 14, 2022
Implemented page rank program

Page Rank Implemented page rank program based on fact that a website is more important if it is linked to by other important websites using recursive

Vaibhaw 6 Aug 24, 2022
Programming Foundations Algorithms With Python

Programming-Foundations-Algorithms Algorithms purpose to solve a specific proplem with a sequential sets of steps for instance : if you need to add di

omar nafea 1 Nov 01, 2021
Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python.

norm-tol-int Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python. Methods The

Jed Ludlow 1 Jan 06, 2022
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students.

A timetable optimiser for NUS which uses an evolutionary algorithm to "breed" a timetable suited to your needs.

Nicholas Lee 3 Jan 09, 2022