Title :
A hybrid genetic/interval algorithm for semi-infinite optimization
Author :
Bianco, Corrado Guarino Lo ; Piazzi, Aurelio
Author_Institution :
Dept. of Comput. Eng., Parma Univ., Italy
Abstract :
This paper proposes a hybrid algorithm for solving constrained semi-infinite optimization problems. It is based on a partially elitistic genetic algorithm which uses an interval procedure to compute penalty terms in constructing the fitness function. Due to the deterministic nature of the interval procedure, which globally converges with certainty, a robust overall algorithm is obtained. This hybrid algorithm is applied, reporting computational results, to the optimal PID controller design for H2 minimax control of an uncertain plant
Keywords :
H∞ control; control system synthesis; convergence; genetic algorithms; maximum principle; minimax techniques; three-term control; uncertain systems; H2 minimax control; constrained semi-infinite optimization problems; fitness function; global convergence; hybrid genetic/interval algorithm; optimal PID controller design; partially elitistic genetic algorithm; uncertain plant; Algorithm design and analysis; Constraint optimization; Design optimization; Genetic algorithms; Minimax techniques; Multidimensional systems; Optimal control; Robustness; Strain control; Three-term control;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.572927
