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Evolutionary Algorithms

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Bibliographic Details
Title: Evolutionary Algorithms
Contributors: Kita, Eisuke
Publisher Information: IntechOpen
Publication Year: 2023
Collection: Directory of Open Access Books (DOAB)
Subject Terms: Computer programming / software development, bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures
Description: Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.
Document Type: other/unknown material
File Description: image/jpeg
Language: English
Relation: ONIX_20231201_9789533071718_83; https://www.intechopen.com/books/98; https://mts.intechopen.com/storage/books/98/authors_book/authors_book.pdf
Availability: https://directory.doabooks.org/handle/20.500.12854/128977
https://hdl.handle.net/20.500.12854/128977
https://www.intechopen.com/books/98
https://mts.intechopen.com/storage/books/98/authors_book/authors_book.pdf
Rights: open access
Accession Number: edsbas.B7F8CC13
Database: BASE
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  Data: Evolutionary Algorithms
– Name: Author
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  Data: Kita, Eisuke
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  Data: IntechOpen
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  Data: 2023
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  Data: Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.
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      – Text: English
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      – TitleFull: Evolutionary Algorithms
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