Tuning Innovation with Biotechnology / Edition 1

by Dong Hwa Kim

Overview

This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial foraging (BF), and hybrid intelligent system to improve plants, robots, etc. It discusses the motivation behind research on and background of evolving intelligence systems and illustrates IM-based approach for parameter estimation required for designing an intelligent system. It approaches optimal intelligent tuning using a hybrid genetic algorithm–particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for intelligent tuning of vector system.

Product Details

ISBN-13:	9789814745352
Publisher:	Jenny Stanford Publishing
Publication date:	12/20/2017
Pages:	232
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

Background. Immune Network–Based Parameter Estimation. Intelligent PID Controller Tuning Using a Hybrid GA-PSO Approach. GA-PSO-Based PI Controller Tuning for Indirect Vector Control of Three-Phase Induction Motor. Novel Hybrid System Based on GA and Bacteria Foraging. Conclusion.