Using genetic algorithm for solving N-Queens problem

The N-Queens problem is a well-known NP-Hard problem. Optimal solutions to small N values can be found in reasonable time by classical search algorithms or linear programming. However, since the N-Queens problem is a constraint satisfaction problem (CSP), it will be very time consuming to solve larg...

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Main Authors: Turky A.M., Ahmad M.S.
Other Authors: 25825717300
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-306092023-12-29T15:50:15Z Using genetic algorithm for solving N-Queens problem Turky A.M. Ahmad M.S. 25825717300 56036880900 Constraint Satisfaction Problem (CSP) Genetic algorithms N-Queens problem Computational complexity Information technology Learning algorithms Optimization Constraint Satisfaction Problems Evolutionary approach N value N-queens problems NP-HARD problem Optimal solutions Optimality Search Algorithms Genetic algorithms The N-Queens problem is a well-known NP-Hard problem. Optimal solutions to small N values can be found in reasonable time by classical search algorithms or linear programming. However, since the N-Queens problem is a constraint satisfaction problem (CSP), it will be very time consuming to solve larger N values with guaranteed optimality. In this paper, genetic algorithm was adopted to solve the N-Queens problem. Results show that this evolutionary approach is very efficient and able to produce good results compared with other approaches e.g. classical search algorithms or linear programming. � 2010 IEEE. Final 2023-12-29T07:50:14Z 2023-12-29T07:50:14Z 2010 Conference paper 10.1109/ITSIM.2010.5561604 2-s2.0-78049410677 https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049410677&doi=10.1109%2fITSIM.2010.5561604&partnerID=40&md5=56542bc99e1b4b805b7c6eb9db6b5f4b https://irepository.uniten.edu.my/handle/123456789/30609 2 5561604 745 747 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Constraint Satisfaction Problem (CSP)
Genetic algorithms
N-Queens problem
Computational complexity
Information technology
Learning algorithms
Optimization
Constraint Satisfaction Problems
Evolutionary approach
N value
N-queens problems
NP-HARD problem
Optimal solutions
Optimality
Search Algorithms
Genetic algorithms
spellingShingle Constraint Satisfaction Problem (CSP)
Genetic algorithms
N-Queens problem
Computational complexity
Information technology
Learning algorithms
Optimization
Constraint Satisfaction Problems
Evolutionary approach
N value
N-queens problems
NP-HARD problem
Optimal solutions
Optimality
Search Algorithms
Genetic algorithms
Turky A.M.
Ahmad M.S.
Using genetic algorithm for solving N-Queens problem
description The N-Queens problem is a well-known NP-Hard problem. Optimal solutions to small N values can be found in reasonable time by classical search algorithms or linear programming. However, since the N-Queens problem is a constraint satisfaction problem (CSP), it will be very time consuming to solve larger N values with guaranteed optimality. In this paper, genetic algorithm was adopted to solve the N-Queens problem. Results show that this evolutionary approach is very efficient and able to produce good results compared with other approaches e.g. classical search algorithms or linear programming. � 2010 IEEE.
author2 25825717300
author_facet 25825717300
Turky A.M.
Ahmad M.S.
format Conference paper
author Turky A.M.
Ahmad M.S.
author_sort Turky A.M.
title Using genetic algorithm for solving N-Queens problem
title_short Using genetic algorithm for solving N-Queens problem
title_full Using genetic algorithm for solving N-Queens problem
title_fullStr Using genetic algorithm for solving N-Queens problem
title_full_unstemmed Using genetic algorithm for solving N-Queens problem
title_sort using genetic algorithm for solving n-queens problem
publishDate 2023
_version_ 1806423331211051008
score 13.214268