Application of evolutionary algorithm to multiobjective optimization of hydraulic actuation system

Abstract

An approach to improve the quality of the design hydraulic actuator by means of solving this problem as a multiobjective is suggested. A mathematical model of multiobjective optimization design and operating parameters of the hydraulic actuator is considered. All the set of Pareto-optimal alternatives is obtained for decision making in selection of the best variant of hydraulic actuator. The special genetic algorithm for Pareto-set obtaining was developed.