Abstract
By mimicking the biological evolution process, genetic algorithm (GA) methodology has the advantages of creating and updating new elite parameters for optimization processes, especially in controller design technique. In this paper, a GA improvement that can speed up convergence and save operation time by neglecting chromosome decoding step is proposed to find the optimized fuzzy-proportional-integral-derivative (fuzzy-PID) control parameters. Due to minimizing tracking error of the controller design criterion, the fitness function integral of square error (ISE) was employed to utilize the advantages of the modified GA. The proposed method was then applied to a novel autonomous hovercraft motion model to display the superiority to the standard GA.
Highlights
John Henry Holland, by imitating Darwin’s biological evolution process, proposed the powerful stochastic global search method genetic algorithm (GA) first in 1975 [1,2]
GA operated shorter generations generations) and hovercraftGA, wasthe tested by moving forwardin(x-direction); stability(just was20 tested when it was rapidly updated the convergence speed of fitness function
The improved GA methodology, which was implemented by make some simple changes inside the standard
Summary
Huu Khoa Tran 1,2 , Hoang Hai Son 3 , Phan Van Duc 4 , Tran Thanh Trang 5 and Hoang-Nam Nguyen 6, *. Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics. Received: 27 November 2019; Accepted: 26 December 2019; Published: 3 January 2020
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
