Advances in metaheuristics algorithms : methods and applications / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros.
Cuevas, Erik, author.; Zaldívar, Daniel, author.; Pérez-Cisneros, Marco, author.
2018
QA402.5
Available Online

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Title Advances in metaheuristics algorithms : methods and applications / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros.
Author Cuevas, Erik, author.
ISBN 9783319893099 (electronic book)
3319893092 (electronic book)
9783319893082
3319893084
DOI https://doi.org/10.1007/978-3-319-89309-9
Published Cham, Switzerland : Springer, 2018.
Language English
Description 1 online resource (xiv, 218 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-319-89309-9 doi
Call Number QA402.5
Dewey Decimal Classification 519.6
Summary 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 full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 17, 2018).
Added Author Zaldívar, Daniel, author.
Pérez-Cisneros, Marco, author.
Series Studies in computational intelligence ; v. 775. 1860-949X
Available in Other Form Advances in metaheuristics algorithms.
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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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