Handbook of Nature-Inspired Optimization Algorithms: Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems (1st ed. 2022) (Studies in Systems, Decision and Control #212)
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031075124
- Related ISBNs:
- 9783031075117
- Publisher:
- Springer International Publishing
- Date of Addition:
- 10/02/22
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Ali Mohamed
- Edited by:
- Diego Oliva
- Edited by:
- Ponnuthurai Nagaratnam Suganthan
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- by Ponnuthurai Nagaratnam Suganthan
- by Diego Oliva
- by Ali Mohamed
- in Nonfiction
- in Computers and Internet
- in Technology