Optimal design of automobile structures using moth-flame optimization algorithm and response surface methodology

被引:47
|
作者
Yildiz, Betul Sultan [1 ,2 ,3 ]
机构
[1] YOK UAK, Bursa, Turkey
[2] Bursa Uludag Univ Bursa, Bursa, Turkey
[3] Bursa Tech Univ, Mech Engn, Bursa, Turkey
关键词
Moth-flame optimization algorithm; response surface; bracket; multiple disc clutch brake; shape optimization; PARTICLE SWARM OPTIMIZATION; OPTIMAL MACHINING PARAMETERS; SYMBIOTIC ORGANISMS SEARCH; CHARGED SYSTEM SEARCH; WATER CYCLE ALGORITHM; TOPOLOGY DESIGN; MULTIOBJECTIVE OPTIMIZATION; DIFFERENTIAL EVOLUTION; GRAVITATIONAL SEARCH; GENETIC ALGORITHM;
D O I
10.3139/120.111494
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In order to present an integrated approach to optimal automobile component design, this research is focused on a shape optimization problem of a bracket using moth-flame optimization algorithm (MFO) and response surface methodology. First, the multiple disc clutch brake problem is optimized using the MFO. Finally, the design problem is posed for shape optimization of the bracket with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis while the response surface method is used to obtain the equations for objective and constraint functions. Weight reduction of the bracket is 45.2 % using the MFO. The results show the ability of the MFO to optimize automobile components in the industry.
引用
收藏
页码:371 / 377
页数:7
相关论文
共 50 条
  • [31] A new technique for influence maximization on social networks using a moth-flame optimization algorithm
    Cui, Qi
    Liu, Feng
    HELIYON, 2023, 9 (11)
  • [32] Optimized fuzzy clustering using moth-flame optimization algorithm in wireless sensor networks
    Cuong Trinh
    Bao Huynh
    Bidaki, Moazam
    Rahmani, Amir Masoud
    Hosseinzadeh, Mehdi
    Masdari, Mohammad
    ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (03) : 1915 - 1945
  • [33] Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
    Abd El Aziz, Mohamed
    Ewees, Ahmed A.
    Hassanien, Aboul Ella
    EXPERT SYSTEMS WITH APPLICATIONS, 2017, 83 : 242 - 256
  • [34] Dynamic economic load dispatch in microgrid using hybrid moth-flame optimization algorithm
    Jain, Anil Kumar
    Gidwani, Lata
    ELECTRICAL ENGINEERING, 2024, 106 (04) : 3721 - 3741
  • [35] Lithium-Ion Battery Optimal Charging Using Moth-Flame Optimization Algorithm and Fractional-Order Model
    Wang, Yujie
    Zhao, Guanghui
    Zhou, Caijie
    Li, Mince
    Chen, Zonghai
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2023, 9 (04) : 4981 - 4989
  • [36] Application of Improved Moth-Flame Optimization Algorithm for Robot Path Planning
    Dai, Xuefeng
    Wei, Yang
    IEEE ACCESS, 2021, 9 : 105914 - 105925
  • [37] A Novel Visual Tracking Method Based on Moth-Flame Optimization Algorithm
    Zhang, Huanlong
    Zhang, Xiujiao
    Qian, Xiaoliang
    Chen, Yibin
    Wang, Fang
    PATTERN RECOGNITION AND COMPUTER VISION (PRCV 2018), PT IV, 2018, 11259 : 284 - 294
  • [38] CAMONET: Moth-Flame Optimization (MFO) Based Clustering Algorithm for VANETs
    Shah, Yasir Ali
    Habib, Hafiz Adnan
    Aadil, Farhan
    Khan, Muhammad Fahad
    Maqsood, Muazzam
    Nawaz, Tabassam
    IEEE ACCESS, 2018, 6 : 48611 - 48624
  • [39] Tent chaos and simulated annealing improved moth-flame optimization algorithm
    Yue L.
    Yang R.
    Zhang Y.
    Yu Y.
    Zhang Z.
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2019, 51 (05): : 146 - 154
  • [40] Optimization scheduling of microgrid cluster based on improved moth-flame algorithm
    Yaping Li
    Zhijun Zhang
    Zhonglin Ding
    Energy Informatics, 7 (1)