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Frontiers in genetics algorithm theory and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Frontiers in genetics algorithm theory and applications/ edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski.
其他作者:	Khosravy, Mahdi.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xiv, 287 p. :ill., digital ;24 cm.
內容註:	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
標題:	Genetic algorithms. -
電子資源:	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

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