TY - GEN
T1 - A comparative study on particle swarm optimization and genetic algorithms for fixed order controller design
AU - Mahar, Faizullah
AU - Ali, Syed Saad Azhar
AU - Bhutto, Zuhaibuddin
PY - 2012
Y1 - 2012
N2 - This article deals with a performance evaluation of particle swarm optimization (PSO) and genetic algorithms (GA) for fixed order controller design. The major objective of the work is to compare the ability, computational effectiveness and efficiency to solve the optimization problem for both algorithms (PSO and GA). All simulation has been performed using a software program developed in the Matlab environment. As yet, overall results show that genetic algorithms generally can find better solutions compared to the PSO algorithm. The primary contribution of this paper is to evaluate the two algorithms in the tuning of proportional integral and derivative (PID)-controllers and minimization of cost function and maximization of robust stability in the servo system which represents a complex system. Such comparative analysis is very important for identifying both the advantages and their possible disadvantages.
AB - This article deals with a performance evaluation of particle swarm optimization (PSO) and genetic algorithms (GA) for fixed order controller design. The major objective of the work is to compare the ability, computational effectiveness and efficiency to solve the optimization problem for both algorithms (PSO and GA). All simulation has been performed using a software program developed in the Matlab environment. As yet, overall results show that genetic algorithms generally can find better solutions compared to the PSO algorithm. The primary contribution of this paper is to evaluate the two algorithms in the tuning of proportional integral and derivative (PID)-controllers and minimization of cost function and maximization of robust stability in the servo system which represents a complex system. Such comparative analysis is very important for identifying both the advantages and their possible disadvantages.
KW - Evolutionary algorithm
KW - optimization
KW - robustness performance and PID controller
UR - https://www.scopus.com/pages/publications/84862125614
U2 - 10.1007/978-3-642-28962-0_28
DO - 10.1007/978-3-642-28962-0_28
M3 - Conference contribution
AN - SCOPUS:84862125614
SN - 9783642289613
T3 - Communications in Computer and Information Science
SP - 284
EP - 294
BT - Emerging Trends and Applications in Information Communication Technologies - Second International Multi Topic Conference, IMTIC 2012, Proceedings
ER -