New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems. - M. Senthil Arumugam; M. V. C. Rao; Ramaswamy Palaniappan (Appl. Soft Comput., 2005)

Two New and Useful Defuzzification Methods Based on Root Mean Square Value. - Aarthi Chandramohan; M. V. C. Rao; M. Senthil Arumugam (Soft Comput., 2006)

On a Class of Hybrid Systems via a Novel Approach for Real-Coded Genetic Algorithm with Hybrid Selection. - M. Senthil Arumugam; M. V. C. Rao (Int. J. Inf. Technol. Decis. Mak., 2007)

On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems. - M. Senthil Arumugam; M. V. C. Rao (Appl. Soft Comput., 2008)

A new and improved version of particle swarm optimization algorithm with global-local best parameters. - M. Senthil Arumugam; M. V. C. Rao; Aarthi Chandramohan (Knowl. Inf. Syst., 2008)

A novel and effective particle swarm optimization like algorithm with extrapolation technique. - M. Senthil Arumugam; Machavaram Venkata Chalapathy Rao; Alan W. C. Tan (Appl. Soft Comput., 2009)

On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms. - M. Senthil Arumugam; Gajula Ramana Murthy; Chu Kiong Loo (Int. J. Bio Inspired Comput., 2009)

Hybrid particle swarm optimization algorithm with fine tuning operators. - Gajula Ramana Murthy; M. Senthil Arumugam; Chu Kiong Loo (Int. J. Bio Inspired Comput., 2009)