The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 52-552
Full Name: Mohammad Pourmahmood
Position: Assistant Professor
Age: ON
Sex: Male
Address: 72.1 No, Azadi ave., Tabriz
Country: IRAN
Tel: +98 9358603168
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E-mail address: m.pour13@gmail.com
Other E-mails: mmpoormahmood@gmail.com
Title of the Paper: A modified shuffled frog leaping algorithm evaluated using benchmarks and robot optimal controller design
Authors as they appear in the Paper: Mohammad Pourmahmood, Amin .M. Shotorbani, Ramin.M. Shotobani
Email addresses of all the authors: m.pour13@gmail.com,amin.mohammadpour@gmail.com,en.ramin.sh@gmail.com
Number of paper pages: 11
Abstract: In this paper, a modified shuffled frog leaping (MSFL) algorithm is proposed to overcome drawbacks of standard shuffled frog leaping (SFL) method. The MSFL approach is based on two major modifications on the conventional SFL method: (1) an adaptive accelerated position changing of frogs and (2) sweeping between randomly selected frogs (called superseding frogs). The first modification causes a fast convergence rate and consequently achieving a rapid adaptive algorithm, while the second one causes a better diversification and consequently escaping from local optimum traps. First, the MSFL algorithm performance is validated using benchmark functions. Simulation results indicate the superiority of MSFL to that of the original SFL in terms of optimal precision and fast convergence rate. Then, the proposed method is used to design the optimal controller parameters for a five bar linkage manipulator robot. Simulation results have verified the effectiveness and robustnes!
s of the proposed method in practical issues. The features and the advantages of MSFL algorithm, such as escaping from local optima traps, global optimization, good robustness, simple mechanism and fast convergence, would make MSFL method as a promising optimization approach.
Keywords: Shuffled frog leaping algorithm,Optimization approach,Convergence rate,Local optimum,PID controller,Five bar linkage manipulator robot
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