Optimization of Contact Problem by Genetic Algorithm Method

被引:0
|
作者
Szweda, Jan [1 ]
Poruba, Zdenek [1 ]
机构
[1] Tech Univ Ostrava, Ostrava 70833, Czech Republic
关键词
Structural Contact Problem; Finite Element Method; Optimization; Genetic Algorithm;
D O I
10.4028/www.scientific.net/AMM.105-107.386
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper is discussed the way of suitable numerical solution of contact shape optimization problem. The first part of the paper is focused on method of global optimization field among which the genetic algorithm is chosen for computer processing and for application on contact problem optimization. The brief description of this method is done with emphasis of its characteristic features. The experiment performed on plane structural problem validates the ability of genetic algorithm in search the area of the global optimum. On the base of the research described in this work, it is possible to recommend optimization technique of genetic algorithm to use for shape optimization of engineering contact problems in which it is possible for any shape to achieve successful convergence of contact task solution.
引用
收藏
页码:386 / 391
页数:6
相关论文
共 50 条
  • [1] The improved initialization method of genetic algorithm for solving the optimization problem
    Kang, Rae-Goo
    Jung, Chai-Yeoung
    [J]. NEURAL INFORMATION PROCESSING, PT 3, PROCEEDINGS, 2006, 4234 : 789 - 796
  • [2] Optimization of the method of auxiliary sources by the genetic algorithm for electromagnetic scattering problem
    Hidouri S.
    Aguili T.
    [J]. Hidouri, Sami (hidouri_sami@yahoo.fr), 2020, Advanced Electromagnetics (09): : 85 - 90
  • [3] Optimization method for departure flight scheduling problem based on genetic algorithm
    Zhang, Haifeng
    Hu, Minghua
    [J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2015, 32 (04) : 477 - 484
  • [4] Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem
    Hidouri, Sami
    Aguili, Taoufik
    [J]. ADVANCED ELECTROMAGNETICS, 2020, 9 (01) : 85 - 90
  • [5] Optimization Method for Departure Flight Scheduling Problem Based on Genetic Algorithm
    张海峰
    胡明华
    [J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2015, 32 (04) : 477 - 484
  • [6] An Improvement of Genetic Algorithm for Optimization Problem
    Pravesjit, Sakkayaphop
    Kantawong, Krittika
    [J]. 2017 INTERNATIONAL CONFERENCE ON DIGITAL ARTS, MEDIA AND TECHNOLOGY (ICDAMT): DIGITAL ECONOMY FOR SUSTAINABLE GROWTH, 2017, : 226 - 229
  • [7] A problem space genetic algorithm in multiobjective optimization
    Turkcan, A
    Akturk, MS
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2003, 14 (3-4) : 363 - 378
  • [8] Problem difficulty for Genetic Algorithm in combinatorial optimization
    Zukhri, Z.
    Omar, K.
    [J]. 2007 5TH STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT, 2007, : 325 - +
  • [9] A novel genetic algorithm for the Layout Optimization Problem
    Xu, Yi-Chun
    Xiao, Ren-Bin
    Amos, Martyn
    [J]. 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 3938 - 3943
  • [10] RGV Optimization Problem Based on Genetic Algorithm
    Li, Cong
    [J]. 2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND ENGINEERING TECHNOLOGY (MEET 2019), 2019, : 151 - 155