Description
| Product ID: | 9780367503291 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Nature-Inspired Optimization Algorithms |
| Authors: | Author: Vasuki A |
| Page Count: | 274 |
| Subjects: | Mathematical foundations, Mathematical foundations, Imaging systems and technology, Games development and programming, Systems analysis and design, Imaging systems & technology, Games development & programming, Systems analysis & design |
| Description: | The book is a lucid description of fifteen of the existing important optimization algorithms that are based on swarm intelligence and superior in performance. Nature has a rich abundance of flora and fauna that inspired the development of nature inspired optimization techniques Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms.Features:
This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-02-01 |
