Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Kunstig intelligens
  3. Neurale net og fuzzy systemer

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Af: Patricia Melin, Frumen Olivas, Oscar Castillo, Fevrier Valdez Engelsk Paperback

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Af: Patricia Melin, Frumen Olivas, Oscar Castillo, Fevrier Valdez Engelsk Paperback
Tjek vores konkurrenters priser
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected to be adjusted. With this modification of parameters we want to find a better model of the behavior of the optimization method, because with the modification of parameters, these will affect directly the way in which the global or local search are performed.
Three different optimization methods were used to verify the improve-ment of the proposed methodology. In this case the optimization methods are: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters are se-lected to be dynamically adjusted, and these parameters have the most im-pact in the behavior of each optimization method.
Simulation results show that the proposed methodology helps to each optimization method in obtaining better results than the results obtained by the original method without parameter adjustment.
Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected to be adjusted. With this modification of parameters we want to find a better model of the behavior of the optimization method, because with the modification of parameters, these will affect directly the way in which the global or local search are performed.
Three different optimization methods were used to verify the improve-ment of the proposed methodology. In this case the optimization methods are: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters are se-lected to be dynamically adjusted, and these parameters have the most im-pact in the behavior of each optimization method.
Simulation results show that the proposed methodology helps to each optimization method in obtaining better results than the results obtained by the original method without parameter adjustment.
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 105
ISBN-13: 9783319708508
Indbinding: Paperback
Udgave:
ISBN-10: 3319708503
Kategori: Neurale net og fuzzy systemer
Udg. Dato: 22 mar 2018
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 22 mar 2018
Forfatter(e): Patricia Melin, Frumen Olivas, Oscar Castillo, Fevrier Valdez
Forfatter(e) Patricia Melin, Frumen Olivas, Oscar Castillo, Fevrier Valdez

Kategori Neurale net og fuzzy systemer

ISBN-13 9783319708508

Sprog Engelsk

Indbinding Paperback

Sider 105

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 22 mar 2018

Oplagsdato 22 mar 2018

Forlag Springer International Publishing AG

Vi anbefaler også
Rosamunde Pilcher Vejen hjem
Vejen hjem
Rosamunde Pilcher
66 kr
Kategori sammenhænge