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Applications of cuckoo search algori...

Dey, Nilanjan.

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Applications of cuckoo search algorithm and its variants

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of cuckoo search algorithm and its variants/ edited by Nilanjan Dey.
other author:	Dey, Nilanjan.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	ix, 324 p. :ill., digital ;24 cm.
[NT 15003449]:	Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State -- Cuckoo search algorithm with various walks -- Cuckoo search algorithm: Statistical-based optimization approach and engineering applications -- Training a Feed Forward Neural Network using Cuckoo Search -- A Cuckoo Search Algorithm Inspired Membrane Systems to Solve Optimization Problems -- Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames.
Contained By:	Springer eBooks
Subject:	Computational Intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-5163-5
ISBN:	9789811551635

Applications of cuckoo search algorithm and its variants
Applications of cuckoo search algorithm and its variants[electronic resource] /edited by Nilanjan Dey. - Singapore :Springer Singapore :2021. - ix, 324 p. :ill., digital ;24 cm. - Springer tracts in nature-inspired computing,2524-552X. - Springer tracts in nature-inspired computing..

Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State -- Cuckoo search algorithm with various walks -- Cuckoo search algorithm: Statistical-based optimization approach and engineering applications -- Training a Feed Forward Neural Network using Cuckoo Search -- A Cuckoo Search Algorithm Inspired Membrane Systems to Solve Optimization Problems -- Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames.

This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.

ISBN: 9789811551635

Standard No.: 10.1007/978-981-15-5163-5doiSubjects--Topical Terms:

1001631
Computational Intelligence.

LC Class. No.: ZA3075 / .A675 2021

Dewey Class. No.: 025.524

Applications of cuckoo search algorithm and its variants
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245 0 0 $a Applications of cuckoo search algorithm and its variants $h [electronic resource] / $c edited by Nilanjan Dey.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a ix, 324 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer tracts in nature-inspired computing, $x 2524-552X
505 0 $a Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State -- Cuckoo search algorithm with various walks -- Cuckoo search algorithm: Statistical-based optimization approach and engineering applications -- Training a Feed Forward Neural Network using Cuckoo Search -- A Cuckoo Search Algorithm Inspired Membrane Systems to Solve Optimization Problems -- Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames.
520 $a This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Continuous Optimization. $3 1566748
650 2 4 $a Algorithms. $3 536374
650 0 $a Information retrieval. $3 566853
700 1 $a Dey, Nilanjan. $3 2200043
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856 4 0 $u https://doi.org/10.1007/978-981-15-5163-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)