Advances in Metaheuristics Algorithms: Methods and Applications

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: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 775
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
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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