Optimal platform design using non-dominated sorting genetic algorithm II and technique for order of preference by similarity to ideal solution; application to automotive suspension system

被引:11
|
作者
Shojaeefard, Mohammad Hassan [1 ]
Khalkhali, Abolfazl [1 ]
Faghihian, Hamed [1 ]
Dahmardeh, Masoud [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Automot Engn, Automot Simulat & Optimal Design Res Lab, Tehran, Iran
关键词
Product family optimization; optimal platform design; NSGA-II; TOPSIS; suspension system; MULTIOBJECTIVE OPTIMIZATION; PRODUCT; CAR;
D O I
10.1080/0305215X.2017.1324853
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Unlike conventional approaches where optimization is performed on a unique component of a specific product, optimum design of a set of components for employing in a product family can cause significant reduction in costs. Increasing commonality and performance of the product platform simultaneously is a multi-objective optimization problem (MOP). Several optimization methods are reported to solve these MOPs. However, what is less discussed is how to find the trade-off points among the obtained non-dominated optimum points. This article investigates the optimal design of a product family using non-dominated sorting genetic algorithm II (NSGA-II) and proposes the employment of technique for order of preference by similarity to ideal solution (TOPSIS) method to find the trade-off points among the obtained non-dominated results while compromising all objective functions together. A case study for a family of suspension systems is presented, considering performance and commonality. The results indicate the effectiveness of the proposed method to obtain the trade-off points with the best possible performance while maximizing the common parts.
引用
收藏
页码:471 / 482
页数:12
相关论文
共 50 条
  • [1] Application of non-dominated sorting genetic algorithm-II technique for optimal FACTS-based controller design
    Panda, Sidhartha
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2010, 347 (07): : 1047 - 1064
  • [2] Pareto-optimal design of UHF antenna using modified non-dominated sorting genetic algorithm II
    Bin, Feng
    Wang, Feng
    Chen, She
    Sun, Qiuqin
    Zhong, Lipeng
    Lin, Shu
    IET MICROWAVES ANTENNAS & PROPAGATION, 2020, 14 (12) : 1404 - 1410
  • [3] Optimal control of amine plant using non-dominated sorting genetic algorithm-II
    Behroozsarand, Alireza
    Shafiei, Sirous
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2010, 2 (06) : 284 - 292
  • [4] Thermodynamic optimization of ideal turbojet with afterburner engines using non-dominated sorting genetic algorithm II
    Noori, F.
    Gorji, M.
    Kazemi, A.
    Nemati, H.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2010, 224 (G12) : 1285 - 1296
  • [5] Optimal control of distillation column using Non-Dominated Sorting Genetic Algorithm-II
    Behroozsarand, Alireza
    Shafiei, Sirous
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2011, 24 (01) : 25 - 33
  • [6] Optimal structural design of a morphing aircraft wing using parallel Non-dominated Sorting Genetic Algorithm II (NSGA II)
    Bharti, Smita
    Frecker, Mary
    Lesieutre, George
    SMART STRUCTURES AND MATERIALS 2006: MODELING, SIGNAL PROCESSING, AND CONTROL, 2006, 6166 : U112 - U123
  • [7] Operative generative design using non-dominated sorting genetic algorithm II (NSGA-II)
    Bailey, Elnaz Tafrihi
    Caldas, Luisa
    AUTOMATION IN CONSTRUCTION, 2023, 155
  • [8] Optimal design of microvascular networks based on non-dominated sorting genetic algorithm II and fluid simulation
    Li, Peng
    Liu, Yuan
    Zou, Tian
    Huang, Jinyong
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (07)
  • [9] Design of a fractional order PID controller for hydraulic turbine regulating system using chaotic non-dominated sorting genetic algorithm II
    Chen, Zhihuan
    Yuan, Xiaohui
    Ji, Bin
    Wang, Pengtao
    Tian, Hao
    ENERGY CONVERSION AND MANAGEMENT, 2014, 84 : 390 - 404
  • [10] Uncertain random portfolio optimization with non-dominated sorting genetic algorithm-II and optimal solution criterion
    Xiangfa Li
    Bo Li
    Ting Jin
    Peiyao Zheng
    Artificial Intelligence Review, 2023, 56 : 8511 - 8546