Electronic Resource

Applications of Flower Pollination Algorithm and its Variants

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Penilaian

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This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are extensively implemented to solve a variety of real-world optimization problems due to its adaptability and robustness. FPA is one of the most successful swarm intelligence procedures developed in 2012 and extensively used in various optimization tasks for more than a decade. The mathematical model of FPA is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, FPA has attracted attention of researchers, who are working to find the optimal solutions in variety of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization, and linear/nonlinear optimization problems. Along with the traditional bat algorithm, the enhanced versions of FPA are also considered to solve a variety of optimization problems in science, engineering, and medical applications.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001295	EB0001901	518.1 App	Central Library (OPAC)	Available

Detail Information

Series Title

Springer Tracts in Nature-Inspired Computing

Call Number

518.1 App

Publisher

Singapore : Springer Singapore., 2021

Collation

XI, 239p.:ill

Language

English

ISBN/ISSN

978-981-33-6104-1

Classification

518.1

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Algorithms

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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