| Title | : | Handbook of Nature-Inspired Optimization Algorithms: The State of the Art |
|---|---|---|
| Author | : | Ali Mohamed, Diego Oliva & Ponnuthurai Nagaratnam Suganthan |
| Release | : | 2022-08-31 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Professional & Technical, Engineering |
| Size | : | 45022763 |
| 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. |
