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Semi-Markov Model of a Swarm Functioning Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Parameters Optimization of PID Controller Based on Improved Fruit Fly Optimization Algorithm

Authors : Xiangyin Zhang, Guang Chen, Songmin Jia

Published in: Advances in Swarm Intelligence

Publisher: Springer International Publishing

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Abstract

Fruit fly optimization algorithm (FOA) is a novel bio-inspired technique, which has attracted a lot of researchers’ attention. In order to improve the performance of FOA, a modified FOA is proposed which adopts the phase angle vector to encoded the fruit fly location and brings in the double sub-swarms mechanism. This new strategies can enhance the search ability of the fruit fly and helps find the better solution. Simulation experiments have been conducted on fifteen benchmark functions and the comparisons with the basic FOA show that θ-DFOA performs better in terms of solution accuracy and convergence speed. In addition, the proposed algorithm is used to optimization the PID controller, and the promising performance is achieved.

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previous chapter Research Optimization on Logistic Distribution Center Location Based on Improved Harmony Search Algorithm
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Metadata
Title
Parameters Optimization of PID Controller Based on Improved Fruit Fly Optimization Algorithm
Authors
Xiangyin Zhang
Guang Chen
Songmin Jia
Copyright Year
2018
Book
Advances in Swarm Intelligence

Print ISBN: 978-3-319-93814-1

Electronic ISBN: 978-3-319-93815-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-93815-8_40

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