Advanced Optimization by Nature-Inspired Algorithms
| Author | : Omid Bozorg-Haddad |
| Publisher | : Springer |
| Total Pages | : 159 |
| Release | : 2017-06-30 |
| ISBN 10 | : 9789811052217 |
| ISBN 13 | : 9811052212 |
| Language | : EN, FR, DE, ES & NL |
Language: en
Pages: 159
Pages: 159
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been pro
Language: en
Pages: 330
Pages: 330
This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection
Language: en
Pages: 516
Pages: 516
Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly
Language: en
Pages: 516
Pages: 516
Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly
Language: en
Pages: 310
Pages: 310
Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified ap
Language: en
Pages: 256
Pages: 256
Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in
Language: en
Pages: 175
Pages: 175
Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimizatio
Language: en
Pages: 148
Pages: 148
Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even
Language: en
Pages: 222
Pages: 222
This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It als
Language: en
Pages: 168
Pages: 168
This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature
