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 editor Ponnuthurai Nagaratnam Suganthan editor Diego Oliva editor
Format:Hardback
Publisher:Springer International Publishing AG
Published:1st Sep '22
Currently unavailable, and unfortunately no date known when it will be back
This hardback is available in another edition too:
- Paperback£129.99(9783031075148)
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 projeISBN: 9783031075117
Dimensions: unknown
Weight: unknown
279 pages
1st ed. 2022