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Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) (Hardcover, 1st ed. 2020) Loot Price: R5,785
Discovery Miles 57 850
Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired...

Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) (Hardcover, 1st ed. 2020)

Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, Margarita N. Favorskaya

Series: Learning and Analytics in Intelligent Systems, 10

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Loot Price R5,785 Discovery Miles 57 850 | Repayment Terms: R542 pm x 12*

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This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Learning and Analytics in Intelligent Systems, 10
Release date: 2020
First published: 2020
Editors: Satchidananda Dehuri • Bhabani Shankar Prasad Mishra • Pradeep Kumar Mallick • Sung-Bae Cho • Margarita N. Favorskaya
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 258
Edition: 1st ed. 2020
ISBN-13: 978-3-03-039032-7
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-039032-2
Barcode: 9783030390327

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