Description

Book Synopsis

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.

Tuning Innovation with Biotechnology

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    A Hardback by Dong Hwa Kim

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      Publisher: Pan Stanford Publishing Pte Ltd
      Publication Date: 20/12/2017
      ISBN13: 9789814745352, 978-9814745352
      ISBN10: 9814745359

      Description

      Book Synopsis

      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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