Description: 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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 thoseof 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. Back Cover 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. 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. Feature Discusses new alternative metaheuristic developments that have proven to be effective in their application to several complex problems Helps researchers, lecturers, engineers, and practitioners solve their own optimization problems Is well-structured so that each chapter can be read independently from the others Details ISBN3319893084 Author Marco Pérez-Cisneros Publisher Springer International Publishing AG Series Studies in Computational Intelligence Year 2018 Edition 1st ISBN-10 3319893084 ISBN-13 9783319893082 Format Hardcover Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Language English DEWEY 006.3 Pages 218 Illustrations 13 Illustrations, color; 35 Illustrations, black and white; XIV, 218 p. 48 illus., 13 illus. in color. Publication Date 2018-04-20 Series Number 775 Edition Description 1st ed. 2018 Alternative 9783030077365 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131033331;
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ISBN-13: 9783319893082
Book Title: Advances in Metaheuristics Algorithms: Methods and Applications
Number of Pages: 218 Pages
Language: English
Publication Name: Advances in Metaheuristics Algorithms: Methods and Applications
Publisher: Springer International Publishing Ag
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 518 g
Type: Textbook
Author: Marco Perez-Cisneros, Daniel Zaldivar, Erik Cuevas
Item Width: 155 mm
Format: Hardcover