Application of Evolutionary Algorithm to Multiobjective Optimization of Hydraulic Actuation System

被引：0
|
作者：
Averchenkov, V. [1 ]
Kazakov, P. [1 ]
Kazakov, V. [2 ]
Reutov, A. [2 ]
Lozbinev, F. [2 ]
机构：
[1] Bryansk State Tech Univ, Dept Informat Technol, Bryansk, Russia
[2] Bryansk State Tech Univ, Power Engn & Elect Dept, Bryansk, Russia
来源：
2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, AUTOMATION AND CONTROL SYSTEMS (MEACS) | 2015年
关键词：
hydraulic actuator; stability and power intensity of a hydraulic actuator; multiobjective optimization; Pareto set; multiobjective genetic algorithm;
D O I：
10.1109/meacs.2015.7414856
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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.
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页数：4
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