Description
| Product ID: | 9780367546618 |
| Product Form: | Hardback |
| Country of Manufacture: | US |
| Series: | Mathematical Engineering, Manufacturing, and Management Sciences |
| Title: | Swarm Intelligence |
| Subtitle: | Foundation, Principles, and Engineering Applications |
| Authors: | Author: Abhinav Sharma, Mangey Ram, Jitendra Kumar Pandey, Abhishek Sharma |
| Page Count: | 126 |
| Subjects: | Algorithms and data structures, Algorithms & data structures, Computer science, Artificial intelligence, Computer science, Artificial intelligence |
| Description: | Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences. |
| Imprint Name: | CRC Press |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-02-02 |
