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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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 |
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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 |
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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 |
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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. |
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25825717300 |
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25825717300 Turky A.M. Ahmad M.S. |
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Conference paper |
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Turky A.M. Ahmad M.S. |
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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 |
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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 |
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2023 |
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1806423331211051008 |
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13.214268 |