Abstract
A novel variant of a multi-objective particle swarm optimization algorithm is reported. The proposed multi-objective particle swarm optimization algorithm is based on the maximin technique previously proposed for a multi-objective genetic algorithm. The technique is applied to optimize two types of problems: firth to a set of benchmark functions and second to the design of PID controllers regarding the classical design objectives of set-point tracking and output disturbance rejection. © 2009 Springer Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
De Moura Oliveira, P. B., Pires, E. J. S., Cunha, J. B., & Vrančić, D. (2009). Multi-objective particle swarm optimization design of pid controllers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 1222–1230). https://doi.org/10.1007/978-3-642-02481-8_183
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
