An Improved Artificial Fish Swarm Algorithm and its Application

Xin Guan; Yi Xin Yin

doi:10.4028/www.scientific.net/AMR.433-440.4434

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440An Improved Artificial Fish Swarm Algorithm and...

An Improved Artificial Fish Swarm Algorithm and its Application

Abstract:

An improved algorithm (AFSA-IWO) was developed based on the artificial fish swarm algorithm (AFSA) and invasive weed optimization (IWO). It introduces IWO, and improves its mechanism of the competitive exclusion to meet practical application. Convergence analysis was performed with some typical benchmark test functions and comparison was made with AFSA. At the same time, it uses the AFSA-IWO to optimize the PID parameters. The results showed that the approach presented better ability in leaping over the local extremum and enhancing local exploration, and can void blind searching in the later evolution period. So it is a global optimization algorithm with good feasibility and high efficiency.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

4434-4438

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.4434

Citation:

Cite this paper

Online since:

January 2012

Authors:

Xin Guan, Yi Xin Yin

Keywords:

Artificial Fish-Swarm Algorithm (AFSA), Invasive Weed Optimization, PID Parameter Optimization, Swarm Intelligence

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