An Improved Artificial Fish Swarm Algorithm and its Application
2012 ◽
Vol 433-440
◽
pp. 4434-4438
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Keyword(s):
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.
2010 ◽
Vol 97-101
◽
pp. 3276-3280
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2021 ◽
pp. 095440622097756
2015 ◽
Vol 2015
◽
pp. 1-13
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2019 ◽
Vol 7
(5)
◽
pp. 1363-1371
2013 ◽
Vol 33
(5)
◽
pp. 1305-1307
◽