Convergence and calculation speed of genetic algorithm in structural engineering optimization

被引：0
|
作者：
Zhu, Yunhua [1 ]
Cai, Xiao [1 ]
机构：
[1] College of Business Administration, Huaqiao University, Quanzhou, Fujian, China
来源：
Metallurgical and Mining Industry | 2015年 / 7卷 / 08期
关键词：
Genetic algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In view of the existing genetic algorithm in structural engineering optimization has poor convergence, computational speed is slow, a optimization scheme of genetic algorithm is proposed in this paper based on the crossover operator and fitness function. The first use of the hybrid mechanism of the single point crossover operator of genetic algorithm is improved, in order to improve the searching space, and then the small to adapt to the optimization of the habitat mechanism of sharing function convergence. The simulation results show that, the crossover operator and fitness function based genetic algorithm optimization in structural engineering optimization has better, faster and better stability.
引用
收藏
页码：259 / 263
相关论文
共 50 条
  • [31] Calculation for reliability of deep tunnel lining through optimization method of Kriging interpolation in collaboration with genetic algorithm
    Su, Ya
    Yang, Ming-Hui
    Su, Yong-Hua
    Liang, Bin
    Yantu Lixue/Rock and Soil Mechanics, 2013, 34 (09): : 2661 - 2666
  • [32] Efficient global optimization algorithm: Empirical genetic algorithm
    Key Laboratory of Urban Security and Disaster Engineering, Beijing University of Technology, Beijing 100022, China
    不详
    不详
    Beijing Gongye Daxue Xuebao J. Beijing Univ. Technol., 2006, 11 (992-995):
  • [33] Electrical network optimization by genetic algorithm
    Pavluchenko, D. A.
    Manusov, V. Z.
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2006, 16 (06): : 569 - 576
  • [34] Optimization of hydrofoils using a genetic algorithm
    1600, AIAA International (51):
  • [35] Multi-Objective Optimization Design of Low Specific Speed Centrifugal Pumps Based on Genetic Algorithm
    Wang, Yuqin
    Zhou, Luxiang
    Zheng, Shimin
    IEEE ACCESS, 2023, 11 : 97896 - 97908
  • [36] Multidimensional Optimization with a Fuzzy Genetic Algorithm
    S. Voget
    M. Kolonko
    Journal of Heuristics, 1998, 4 : 221 - 244
  • [37] Annealing a Genetic Algorithm for Constrained Optimization
    Mendivil, F.
    Shonkwiler, R.
    JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2010, 147 (02) : 395 - 410
  • [38] Genetic algorithm optimization of superresolution parameters
    Ahrens, Barry
    GECCO 2005: Genetic and Evolutionary Computation Conference, Vols 1 and 2, 2005, : 2083 - 2088
  • [39] An elitist genetic algorithm for multiobjective optimization
    Costa, L
    Oliveira, P
    METAHEURISTICS: COMPUTER DECISION-MAKING, 2004, 86 : 217 - +
  • [40] Genetic algorithm optimization of the dataflow processor
    Turcaník, M
    Liska, M
    INTELLIGENT TECHNOLOGIES - THEORY AND APPLICATIONS: NEW TRENDS IN INTELLIGENT TECHNOLOGIES, 2002, 76 : 286 - 290
12345