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.
A hybrid genetic/interval algorithm for semi-infinite optimization / GUARINO LO BIANCO, Corrado; Piazzi, Aurelio. - 2:(1996), pp. 2136-2138. (Intervento presentato al convegno IEEE Conf. on Decision and Control nel 11-13 Dec) [10.1109/CDC.1996.572927].
A hybrid genetic/interval algorithm for semi-infinite optimization
GUARINO LO BIANCO, Corrado;PIAZZI, Aurelio
1996-01-01
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.| File | Dimensione | Formato | |
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