Other/Unknown Material

Evolutionary Algorithms

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Evolutionary Algorithms
Συνεισφορές: Kita, Eisuke
Στοιχεία εκδότη: IntechOpen
Έτος έκδοσης: 2023
Συλλογή: Directory of Open Access Books (DOAB)
Θεματικοί όροι: Computer programming / software development, bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures
Περιγραφή: 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.
Τύπος εγγράφου: other/unknown material
Περιγραφή αρχείου: image/jpeg
Γλώσσα: English
Relation: ONIX_20231201_9789533071718_83; https://www.intechopen.com/books/98; https://mts.intechopen.com/storage/books/98/authors_book/authors_book.pdf
Διαθεσιμότητα: 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
Αριθμός Καταχώρησης: edsbas.B7F8CC13
Βάση Δεδομένων: BASE
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  Data: Kita, Eisuke
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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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      – TitleFull: Evolutionary Algorithms
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