عنوان

Advances in metaheuristics algorithms :

(Number (ISBN

3030077365

(Number (ISBN

3319893092

(Number (ISBN

3319893106

(Number (ISBN

9783030077365

(Number (ISBN

9783319893099

(Number (ISBN

9783319893105

Erroneous ISBN

3319893084

Erroneous ISBN

9783319893082

Title Proper

Advances in metaheuristics algorithms :

General Material Designation

[Book]

Other Title Information

methods and applications /

First Statement of Responsibility

by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource (xiv, 218 pages) :

Other Physical Details

illustrations (some color)

Series Title

Studies in computational intelligence,

Volume Designation

volume 775

ISSN of Series

1860-949X ;

Text of Note

Includes bibliographical references.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319893099

Title

Advances in metaheuristics algorithms.

International Standard Book Number

9783319893082

Heuristic programming.

Mathematical optimization.

Artificial intelligence.

Computers-- Intelligence (AI) & Semantics.

Heuristic programming.

Mathematical optimization.

COM004000

UYQ

UYQ

Number

Edition

Class number

Cuevas, Erik

Pérez-Cisneros, Marco

Zaldívar, Daniel

Date of Transaction

20200823114220.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y