An enhanced genetic algorithm-based multi-objective design optimization strategy

被引：19
|
作者：
Yuan, Rong [1 ,2 ]
Li, Haiqing [3 ]
Wang, Qingyuan [1 ,2 ]
机构：
[1] Chengdu Univ, Sch Mech Engn, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, Coll Architecture & Environm, Chengdu, Sichuan, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu, Sichuan, Peoples R China
来源：
ADVANCES IN MECHANICAL ENGINEERING | 2018年 / 10卷 / 07期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Enhanced genetic algorithm; ratio of conformity; multi-objective design and optimization; preference chosen; speed increaser; MULTIDISCIPLINARY DESIGN; SYSTEM; PROBABILITY;
D O I：
10.1177/1687814018784836
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In this study, an enhanced genetic algorithm is proposed to solve multi-objective design and optimization problems in practical engineering. In the given approach, designers choose available design results from the given samples first. These samples are re-ordered according to their mutual relationships. After that, designers choose an exact ratio of conformity as available field. Furthermore, more weight information can be obtained through finding the minimum value of the norm of unconformity and satisfactory samples. These samples can be used to reflect the preference chosen for Pareto design solutions. A structure design problem of speed increaser used in wind turbine generator systems is solved to show the application of the given design strategy.
引用
下载
收藏
页数：6
相关论文
共 50 条
  • [21] Multi-objective niching quantum genetic algorithm-based optimization method for pneumatic hammer structure
    Cao, Jine
    Cao, Pinlu
    Wen, Chengda
    Cao, Hongyu
    Yao, Shanshan
    Yin, Qilei
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [22] Multi-objective optimization problem based on genetic algorithm
    Heng, L., 1600, Asian Network for Scientific Information (12):
  • [23] A symbiotic organisms search algorithm-based design optimization of constrained multi-objective engineering design problems
    Ustun, Deniz
    Carbas, Serdar
    Toktas, Abdurrahim
    ENGINEERING COMPUTATIONS, 2021, 38 (02) : 632 - 658
  • [24] Multi-objective automatic optimization design of centrifugal impeller based on genetic algorithm
    Liu, Xiaomin
    Zhang, Wenbin
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2010, 44 (01): : 31 - 35
  • [25] Design Optimization of Complex Products Based on CAD Multi-Objective Genetic Algorithm
    Li F.
    Yin H.
    Tomar R.
    Singh T.P.
    Computer-Aided Design and Applications, 2023, 20 (S3): : 108 - 120
  • [26] Design optimization of vehicle EHPS system based on multi-objective genetic algorithm
    Cui, Taowen
    Zhao, Wanzhong
    Wang, Chunyan
    ENERGY, 2019, 179 : 100 - 110
  • [27] Design Optimization of Vehicle EHPS System Based on Multi-objective Genetic Algorithm
    Cui, Taowen
    Zhao, Wanzhong
    Wang, Chunyan
    JOINT INTERNATIONAL CONFERENCE ON ENERGY, ECOLOGY AND ENVIRONMENT ICEEE 2018 AND ELECTRIC AND INTELLIGENT VEHICLES ICEIV 2018, 2018,
  • [28] Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm
    Sun, Ying
    Huang, Peng
    Cao, Yongcheng
    Jiang, Guozhang
    Yuan, Zhongping
    Bai, Dongxu
    Liu, Xin
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 10
  • [29] A Species-Based Multi-Objective Genetic Algorithm for Multi-Objective Optimization Problems
    Sun Fuquan
    Wang Hongfeng
    Lu Fuqiang
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 5063 - 5066
  • [30] The Design of Motor Multi-Objective Inverse Optimization System based on Genetic Algorithm
    Jiang Kun
    Li Guo-li
    Zhou Rui
    Si Wei
    Zhao Xiao-min
    Fang Guang-hui
    2013 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2013, : 496 - 499
12345