Advances in Metaheuristics Algorithms: Methods and Applications

Advances in Metaheuristics Algorithms: Methods and Applications by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros.

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their...

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Bibliographic Details
Main Authors: Cuevas, Erik (Author), Zaldívar, Daniel (Author), Pérez-Cisneros, Marco (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 775
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • The metaheuristic algorithm of the social-spider
  • Calibration of Fractional Fuzzy Controllers by using the Social-spider method
  • The metaheuristic algorithm of the Locust-search
  • Identification of fractional chaotic systems by using the Locust Search Algorithm
  • The States of Matter Search (SMS)
  • Multimodal States of Matter search
  • Metaheuristic algorithms based on Fuzzy Logic.

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