1st Edition

Tuning Innovation with Biotechnology




ISBN 9789814745352
Published December 20, 2017 by Jenny Stanford Publishing
218 Pages 15 Color & 126 B/W Illustrations

USD $149.95

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Book Description

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.

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.

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