id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_gk74fystujhudgr5qfzyip62xq	M. Willjuice Iruthayarajan	Evolutionary algorithms based design of multivariable PID controller	2009	9	.pdf	application/pdf	6337	1142	69	In this paper, performance comparison of evolutionary algorithms (EAs) such as real coded genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix adaptation evolution strategy (CMAES) and differential evolution (DE) on optimal design of multivariable PID controller design minimization of IAE as objective using two types of stopping criteria, namely, maximum number of functional evaluations (Fevalmax) and Fevalmax along with tolerance of PID parameters and IAE. clearly indicate the better performance of CMAES and MPSO designed PI/PID controller on multivariable PID controller simulation results show the better performance of CMAES and MPSO algorithms as compared to the preTable 6 SBX crossover, MPSO, DE and CMAES on the optimal design of multivariable PI and PID controller for the binary distillation column Evolutionary algorithms based design of multivariable PID controller Evolutionary algorithms based design of multivariable PID controller Evolutionary algorithms based design of multivariable PID controller	./cache/work_gk74fystujhudgr5qfzyip62xq.pdf	./txt/work_gk74fystujhudgr5qfzyip62xq.txt