The Role of Selection in Genetic Algorithms - Softcover

Shakir, Ali; Ali, Salim; Mohd Rahim, Mohd Shafry

 
9783659891908: The Role of Selection in Genetic Algorithms
Softcover
ISBN 10: 3659891908 ISBN 13: 9783659891908
Verlag: LAP LAMBERT Academic Publishing, 2017

Inhaltsangabe

Genetic algorithm has become a suitable searching or optimization tool for solving many complex problems comparing with the traditional search techniques. Genetic algorithm contains many manipulations to speed up and improve the genetic algorithm performance; one of these manipulations is the selection operations. The selection refers to select the best individual in the population and make it as parent in the next generation; the worst individual may be not select always. This process is done by using many different selection schemes. Three problems, Traveling Salesman Problem, Knapsack Problem and Solving Instantaneous Linear Algebraic Equation Problem are solved in this thesis by genetic algorithms with six different selection strategies, these schemes, the implementation, discussion of their effects on the performance of genetic algorithm and comparison between them as well as with the other works which are illustrated in this thesis. Finally, it is found that the uses of selection mechanisms are important to make genetic algorithm less susceptible to premature convergence and speed up the search process of finding the optimal solution.

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Reseña del editor

Genetic algorithm has become a suitable searching or optimization tool for solving many complex problems comparing with the traditional search techniques. Genetic algorithm contains many manipulations to speed up and improve the genetic algorithm performance; one of these manipulations is the selection operations. The selection refers to select the best individual in the population and make it as parent in the next generation; the worst individual may be not select always. This process is done by using many different selection schemes. Three problems, Traveling Salesman Problem, Knapsack Problem and Solving Instantaneous Linear Algebraic Equation Problem are solved in this thesis by genetic algorithms with six different selection strategies, these schemes, the implementation, discussion of their effects on the performance of genetic algorithm and comparison between them as well as with the other works which are illustrated in this thesis. Finally, it is found that the uses of selection mechanisms are important to make genetic algorithm less susceptible to premature convergence and speed up the search process of finding the optimal solution.

Biografía del autor

Ali Shakir Mahmood is a lecturer in AL-Mustansiriyah University, Iraq, birthday at 18th December 1981. The bachelor in Science of Programming Engineering from Al-Rafidain University College/Iraq. The master in Computer Science from Informatics Institute for Postgraduate Studies/Iraq, the doctor of philosophy in Computer Science from UTM/Malaysia.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3659891908
ISBN 13 
9783659891908
Einband
Tapa blanda
Anzahl der Seiten
88
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Verantwortliche Person
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