R. Oftadeh, M. J. Mahjoob and M. Shariatpanahi, “A Novel Mata-Heuristic Optimization Algorithm Inspired by Group Hunting of Animals: Hunting Search,” Computers and Mathematics with Applications, Vol. 60, No. 1, 2010, pp. 2087-2098. doi:10.1016/j.camwa.2010.07.049

has been cited by the following article:

• TITLE: Application of Current Search to Optimum PIDA Controller Design

  AUTHORS: Deacha Puangdownreong

  KEYWORDS: Current Search; Metaheuristics; PIDA Controller; AVR System

  JOURNAL NAME: Intelligent Control and Automation, Vol.3 No.4, November 28, 2012

  ABSTRACT: An application of the current search (CS), one of the most efficient metaheuristic optimization search techniques, to design the PIDA (proportional-integral-derivative-accelerated) controllers is proposed in this paper. The CS is applied to search for the optimum PIDA controller’s parameters. The obtained controllers are tested against nine benchmark systems collected by ?sstr?m and H?gglund considered as the hard-to-be-controlled plants and an automatic voltage regulator (AVR) system. As results, the optimum PIDA controllers can be successfully obtained by the CS and the responses of controlled systems are very satisfactory.