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Bioinspired Optimization Methods and Their Applications - 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19-20, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R1,610
Discovery Miles 16 100
Bioinspired Optimization Methods and Their Applications - 9th International Conference, BIOMA 2020, Brussels, Belgium, November...

Bioinspired Optimization Methods and Their Applications - 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19-20, 2020, Proceedings (Paperback, 1st ed. 2020)

Bogdan Filipic, Edmondo Minisci, Massimiliano Vasile

Series: Lecture Notes in Computer Science, 12438

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Loot Price R1,610 Discovery Miles 16 100 | Repayment Terms: R151 pm x 12*

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This book constitutes the refereed proceedings of the 9th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2020, held in Brussels, Belgium, in November 2020. The 24 full papers presented in this book were carefully reviewed and selected from 68 submissions. The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other. Due to the Corona pandemic BIOMA 2020 was held as a virtual event.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12438
Release date: November 2020
First published: 2020
Editors: Bogdan Filipic • Edmondo Minisci • Massimiliano Vasile
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 322
Edition: 1st ed. 2020
ISBN-13: 978-3-03-063709-5
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Internet > Network computers
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 3-03-063709-3
Barcode: 9783030637095

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