Title :
Application of evolutionary algorithm to multiobjective optimization of hydraulic actuation system
Author :
V. Averchenkov;P. Kazakov;V. Kazakov;A. Reutov;F. Lozbinev
Author_Institution :
Information Technologies Department, Bryansk State Technical University, Russia
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.
Keywords :
"Hydraulic actuators","Optimization","Sociology","Statistics","Mathematical model","Genetic algorithms","Pistons"
Conference_Titel :
Mechanical Engineering, Automation and Control Systems (MEACS), 2015 International Conference on
DOI :
10.1109/MEACS.2015.7414856