Intelligent Design of Internal Combustion Engine in Hybrid Genetic Algorithm

被引:4
|
作者
Zhu, Jiang [1 ]
Xi, Pingyuan [2 ]
机构
[1] Changzhou Coll Informat Technol, Dept Mech & Elect Engn, Changzhou 213164, Peoples R China
[2] Huaihai Inst Technol, Sch Mech Engn, Lianyungang 222005, Peoples R China
来源
ADVANCED MECHANICAL ENGINEERING, PTS 1 AND 2 | 2010年 / 26-28卷
关键词
piston; internal combustion engine; optimal design; hybrid genetic algorithm;
D O I
10.4028/www.scientific.net/AMM.26-28.186
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The basic parameters of internal combustion engines reflect the working performance and quality of the internal combustion engine. Therefore it is of great significance to design the operating parameters of vehicle engine by design optimization method. In this paper, hybrid genetic algorithm is adopted to optimize operating parameters of vehicle engine, so that optimization process was simplified and the global optimal solution is ensured reliably. Being satisfied with the heating loading, mechanical loading and the conditions of gas mixture of engine and boundary constraints, the optimization mathematical model is created which is to minimize the heating surface area of engine. Considering the problem of low efficiency and local optimum caused by traditional optimal methods, the hybrid Genetic Algorithm are adopted to solve the optimization model. So that the optimization process is simplified and global optimum is acquired reliably.
引用
收藏
页码:186 / +
页数:2
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