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Optimización de un Problema NP-completo con un Algoritmo Bioinspirado

Optimización de un Problema NP-completo con un Algoritmo Bioinspirado

          
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About the Book

La existencia de un conjunto variado de problemas "NP-difíciles" del área de optimización multiobjetivo, que aparecen con bastante regularidad en la práctica y necesitan ser resueltos de una manera eficiente, ha impulsado el desarrollo de técnicas eficientes para encontrar buenas soluciones. Estos métodos, en los cuales la rapidez es tan importante como la calidad de la solución obtenida, se denominan heurísticas. Los procedimientos metaheurísticos constituyen la nueva generación de métodos aproximados, y proporcionan reglas o estrategias que guían la construcción o el diseño del algoritmo heurístico concreto, que resolverá el problema dado. Aún así, estas reglas no son rígidas y dan mucha libertad, permitiendo el diseño de diferentes técnicas basadas en la misma metodología de las metaheurísticas. Una de las familias de métodos se puede encontrar dentro de los procedimientos metaheurísticos es la de los llamados algoritmos evolutivos. Este trabajo contiene una heurística con el fin de resolver problemas de optimización multiobjetivo basada en la computación evolutiva, el cual fue puesto a prueba contra otra heurística existente llamada SPEA2.


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Product Details
  • ISBN-13: 9783659053566
  • Publisher: Eae Editorial Academia Espanola
  • Binding: Paperback
  • Language: Spanish
  • Returnable: N
  • Spine Width: 5 mm
  • Width: 152 mm
  • ISBN-10: 3659053562
  • Publisher Date: 19 Nov 2012
  • Height: 229 mm
  • No of Pages: 80
  • Series Title: Spanish
  • Weight: 131 gr


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Optimización de un Problema NP-completo con un Algoritmo Bioinspirado
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