Optimization Design of Automobile Transmission System Based on Improving NSGA-II Algorithm

被引：0
|
作者：
Wu Yonghai [1 ]
Wang Liuyang [1 ]
机构：
[1] Huaiyin Inst Technol, Fac Traff Engn, Huaian, Peoples R China
来源：
2011 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1 AND 2: NEW ENGINES FOR INDUSTRIAL DESIGN: INTELLIGENCE - INTERACTION - SERVICES | 2011年
关键词：
NSGA-II; transmission; multi-objective; optimization;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In allusion to a automobile transmission system with six-grade transmission and belt overdrive gear, using automobile energy utilization ratio and standing start continuous shift acceleration time as objective function, its multi-objective optimization model is constructed. The improved congestion degree calculation and choose operation method are put forward according to the problem that poor population diversity when NSGA-II algorithm was used in the transmission optimization, the improved NSGA-II algorithm is used to implement multi-objective optimization design on the automobile transmission system. Optimization results show that Pareto optimal solutions obtained from the improved NSGA-II algorithm are more evenly distributed and the algorithm is more efficient. The improved NSGA-II algorithm used in this paper is also suitable for other areas of computing multi-objective optimization problem.
引用
收藏
页码：1254 / 1257
页数：4
相关论文
共 50 条
  • [1] Optimization design of a common rail injector based on NSGA-II algorithm
    Xiong, Qing-Hui
    Zhang, You-Tong
    Wang, Ding-Biao
    Zhang, Xiao-Kun
    Liu, Yong-Feng
    Ding, Xiao-Liang
    [J]. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2010, 30 (10): : 1160 - 1164
  • [2] Multiobjective optimization design of high frequency transformer based on NSGA-II algorithm
    Wang, Chunjie
    Han, Wenkai
    Chen, Peng
    Song, Jinchuan
    Yuan, Songwei
    [J]. PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, : 664 - 669
  • [3] Improving NSGA-II Algorithm Based on Minimum Spanning Tree
    Li, Miqing
    Zheng, Jinhua
    Wu, Jun
    [J]. SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, 2008, 5361 : 170 - 179
  • [4] A Technique of Hydraulic System Optimization at the Preliminary Design Stage by the NSGA-II Genetic Algorithm
    Bobarika I.O.
    Gruzdev A.S.
    [J]. Russian Aeronautics, 2023, 66 (02): : 387 - 395
  • [5] Parameter Optimization of Eel Robot Based on NSGA-II Algorithm
    Zhang, AnFan
    Ma, Shugen
    Li, Bin
    Wang, MingHui
    Chang, Jian
    [J]. INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT III, 2019, 11742 : 3 - 15
  • [6] Optimization of command and control network based on NSGA-II algorithm
    Yu, Lianfei
    Fan, Changjun
    Liu, Jin
    Lv, Guodong
    Zhang, Weiming
    [J]. Journal of Computational and Theoretical Nanoscience, 2015, 12 (12) : 5053 - 5058
  • [7] Dimensional optimization of a minimally invasive surgical robot system based on NSGA-II algorithm
    Wang, Wei
    Wang, Weidong
    Dong, Wei
    Yu, Hongjian
    Yan, Zhiyuan
    Du, Zhijiang
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (02) : 1 - 11
  • [8] Pareto Optimization of Power System Reconstruction Using NSGA-II algorithm
    Wang, Hongtao
    He, Chengming
    Liu, Yutian
    [J]. 2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [9] Migration-corrected NSGA-II for improving multiobjective design optimization in electromagnetics
    Di Barba, Paolo
    Dughiero, Fabrizio
    Forzan, Michele
    Sieni, Elisabetta
    [J]. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2016, 51 (02) : 161 - 172
  • [10] Research on layered microgrid operation optimization based on NSGA-II algorithm
    Chen, Miao
    Jun, Zou
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2149 - 2156
12345