Electronic Resource

Applications of Bat Algorithm and its Variants

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Penilaian

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This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA’s mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001180	EB0001786	519.6 App	Central Library (OPAC)	Available

Detail Information

Series Title

Springer Tracts in Nature-Inspired Computing

Call Number

519.6 App

Publisher

Singapore : Springer Singapore., 2020

Collation

xii, 172p.:Ill

Language

English

ISBN/ISSN

978-981-15-5097-3

Classification

519.6

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Mathematical optimization

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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