Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

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Korporativní autor: SpringerLink (Online service)
Další autoři: Castillo, Oscar (Editor), Melin, Patricia (Editor)
Shrnutí:IX, 383 p. 175 illus., 117 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2021.
Vydání:1st ed. 2021.
Edice:Studies in Computational Intelligence, 940
Témata:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
On-line přístup:https://doi.org/10.1007/978-3-030-68776-2
Médium: Elektronický zdroj Kniha
Obsah:
  • Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters
  • Optimization of the Internet Shopping Problem with Shipping Costs
  • Multiobjective Algorithms Performance When Solving CEC09 Test Instances
  • Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market .

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