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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Parameters Optimization of PID Controller Based on Improved Fruit Fly Optimization Algorithm
verfasst von : Xiangyin Zhang, Guang Chen, Songmin Jia
Erschienen in: Advances in Swarm Intelligence
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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.