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Exploring Genetic Algorithm’s Selection Approaches: Theory, Implementations and Statistical Analysis - Brossura
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Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Identifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. The objective of the research is to investigate the performance of the GA with different selection strategies in terms of minimizing the distance required for covering all the cities in TSP, number of generations required to achieve convergence and execution time to come out with the optimal solution for TSP. Overall, a statistical tests are conducted for the performance significance of the selection strategies.
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Exploring Genetic Algorithm s Selection Approaches
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pandey Hari MohanHari Mohan Pandey has specialization in Computer Engineering. He has several publications in International journals and conference. Apart from this title he is the author of over 10 books with worlds best publishers,. Codice articolo 151401447
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Exploring Genetic Algorithm¿s Selection Approaches
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Scholars' Press Nov 2015, 2015
ISBN 10: 3639769325
ISBN 13: 9783639769326
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Identifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. The objective of the research is to investigate the performance of the GA with different selection strategies in terms of minimizing the distance required for covering all the cities in TSP, number of generations required to achieve convergence and execution time to come out with the optimal solution for TSP. Overall, a statistical tests are conducted for the performance significance of the selection strategies. 68 pp. Englisch. Codice articolo 9783639769326
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Exploring Genetic Algorithm¿s Selection Approaches : Theory, Implementations and Statistical Analysis
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Identifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. The objective of the research is to investigate the performance of the GA with different selection strategies in terms of minimizing the distance required for covering all the cities in TSP, number of generations required to achieve convergence and execution time to come out with the optimal solution for TSP. Overall, a statistical tests are conducted for the performance significance of the selection strategies. Codice articolo 9783639769326
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Exploring Genetic Algorithm¿s Selection Approaches
Editore:
Scholars' Press Nov 2015, 2015
ISBN 10: 3639769325
ISBN 13: 9783639769326
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Identifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. The objective of the research is to investigate the performance of the GA with different selection strategies in terms of minimizing the distance required for covering all the cities in TSP, number of generations required to achieve convergence and execution time to come out with the optimal solution for TSP. Overall, a statistical tests are conducted for the performance significance of the selection strategies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Codice articolo 9783639769326
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