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Frontiers in genetics algorithm theory and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Frontiers in genetics algorithm theory and applications/ edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski.
other author:	Khosravy, Mahdi.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xiv, 287 p. :ill., digital ;24 cm.
[NT 15003449]:	Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.
Contained By:	Springer Nature eBook
Subject:	Genetic algorithms. -
Online resource:	https://doi.org/10.1007/978-981-99-8107-6
ISBN:	9789819981076

Frontiers in genetics algorithm theory and applications
Frontiers in genetics algorithm theory and applications[electronic resource] /edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski. - Singapore :Springer Nature Singapore :2024. - xiv, 287 p. :ill., digital ;24 cm. - Springer tracts in nature-inspired computing,2524-5538. - Springer tracts in nature-inspired computing..

Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.

This book reviews recent advances in theory and applications of genetic algorithm (GA) The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.

ISBN: 9789819981076

Standard No.: 10.1007/978-981-99-8107-6doiSubjects--Topical Terms:

533907
Genetic algorithms.

LC Class. No.: QA402.5

Dewey Class. No.: 519.625

Frontiers in genetics algorithm theory and applications
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245 0 0 $a Frontiers in genetics algorithm theory and applications $h [electronic resource] / $c edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xiv, 287 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer tracts in nature-inspired computing, $x 2524-5538
505 0 $a Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.
520 $a This book reviews recent advances in theory and applications of genetic algorithm (GA) The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
650 0 $a Genetic algorithms. $3 533907
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Algorithms. $3 536374
650 2 4 $a Optimization. $3 891104
650 2 4 $a Building Information Modeling. $3 3598693
700 1 $a Khosravy, Mahdi. $3 3450095
700 1 $a Gupta, Neeraj. $3 1033673
700 1 $a Witkowski, Olaf. $3 3713517
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer tracts in nature-inspired computing. $3 3443947
856 4 0 $u https://doi.org/10.1007/978-981-99-8107-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)