Description
The book includes nature-inspired optimization techniques and their applications. It offers recent trends in the field of nature-inspired algorithms for solving real-life problems in various fields related to manufacturing, artificial intelligence, finance, etc. Nature-inspired optimization techniques are not only useful but also needed for solving open-ended problems. Understanding nature-inspired techniques and their importance for solving real-life problems can open many directions for researchers and academicians. This book will be helpful in acquiring knowledge of nature-inspired optimization techniques in various fields of real-life applications.
Table of Contents
Chapter 1:Mathematical Foundations and analysis of nature.-Chapter 2:inspired algorithms.- Chapter 3:Application of Grey Wolf Algorithm in portfolio optimization.- Chapter 4:Prediction using Nature-inspired algorithms.- Chapter 5:Fault diagnosis using nature.-Chapter 5:inspired algorithms.- Chapter 6:Early Detection of Alzheimer's disease using nature-inspired algorithms.-Chapter 7: A Framework for Self-Tuning Algorithms.- Chapter 8:Dealing With Constraints for solving real-life problems.- Chapter 9:Multi-objective optimization problems using stochastic algorithms.-Chapter 10: Data Mining and Deep Learning using nature-inspired algorithms.
