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  • The aim of this paper is presentation of encoding for self-adaptation of genetic algorithms which is suitable for travelling salesman problem. Comparing to previous approaches here is designed the encoding for self-adaptation not only one parameter or several ones but for all possible parameters of genetic algorithms at the same time. The proposed self-adaptive genetic algorithm is then applied for solving various instances of travelling salesman problem and compared with a standard genetic algorithm. The main advantage of this approach is that it makes possible to solve wide range of combinatorial problems without setting parameters for each type of problem in advance.
  • The aim of this paper is presentation of encoding for self-adaptation of genetic algorithms which is suitable for travelling salesman problem. Comparing to previous approaches here is designed the encoding for self-adaptation not only one parameter or several ones but for all possible parameters of genetic algorithms at the same time. The proposed self-adaptive genetic algorithm is then applied for solving various instances of travelling salesman problem and compared with a standard genetic algorithm. The main advantage of this approach is that it makes possible to solve wide range of combinatorial problems without setting parameters for each type of problem in advance. (en)
Title
  • Self-Adaptive Genetic Algorithm and Travelling Salesman Problem
  • Self-Adaptive Genetic Algorithm and Travelling Salesman Problem (en)
skos:prefLabel
  • Self-Adaptive Genetic Algorithm and Travelling Salesman Problem
  • Self-Adaptive Genetic Algorithm and Travelling Salesman Problem (en)
skos:notation
  • RIV/47813059:19520/10:#0000578!RIV11-GA0-19520___
http://linked.open...avai/riv/aktivita
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  • P(GA402/09/0405)
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  • 286825
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  • RIV/47813059:19520/10:#0000578
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  • Genetic Algorithms, Travelling Salesman Problem, Self-adaptation, Combinatorial Optimization (en)
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http://linked.open...ontrolniKodProRIV
  • [C35D212E06CD]
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  • Brno
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  • Brno
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  • Mendel 2010. 16th International Conference on Sot Computing.
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  • Perzina, Radomír
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  • BTU85
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number of pages
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  • Vysoké učení technické v Brně
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  • 978-80-214-4120-0
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  • 19520
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