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Books > Computing & IT > Applications of computing > Artificial intelligence

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems (Hardcover, 1st ed. 2022) Loot Price: R4,378

Discovery Miles 43 780

Repayment Terms: R410 pm x 12*

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume I: Solving Single Objective...

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems (Hardcover, 1st ed. 2022)

Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan

Series: Studies in Systems, Decision and Control, 212

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Loot Price R4,378 Discovery Miles 43 780 | Repayment Terms: R410 pm x 12*

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The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 212
Release date:	September 2022
First published:	2022
Editors:	Ali Mohamed • Diego Oliva • Ponnuthurai Nagaratnam Suganthan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	279
Edition:	1st ed. 2022
ISBN-13:	978-3-03-107511-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-107511-0
Barcode:	9783031075117