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Title
Handbook of nature-inspired optimization algorithms : the state of the art. Volume I, Solving single objective bound-constrained real-parameter numerical optimization problems / Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan, editors.
ISBN
9783031075124 (electronic bk.)
3031075129 (electronic bk.)
9783031075117
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (x, 279 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-07512-4 doi
Call Number
QA402.5
Dewey Decimal Classification
519.6
Summary
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.
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Access limited to authorized users.
Source of Description
Description based upon print version of record.
Series
Studies in systems, decision and control ; v. 212.
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