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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: R4,258
Discovery Miles 42 580
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 R4,258 Discovery Miles 42 580 | Repayment Terms: R399 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
LSN: 3-03-107511-0
Barcode: 9783031075117

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