Shape and size optimization of trusses with multiple frequency constraints using harmony search and ray optimizer for enhancing the particle swarm optimization algorithm

被引:55
|
作者
Kaveh, A. [1 ]
Javadi, S. M. [1 ]
机构
[1] Iran Univ Sci & Technol, Ctr Excellence Fundamental Studies Struct Engn, Tehran 16, Iran
基金
美国国家科学基金会;
关键词
STRUCTURAL OPTIMIZATION;
D O I
10.1007/s00707-013-1006-z
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In this paper, size and shape optimization of truss structures is performed using an efficient hybrid method. This algorithm uses a particle swarm strategy and ray optimizer, and utilizes additional harmony search for a better exploitation. Here, multiple frequency constraints are considered making the optimization a highly nonlinear problem. Some basic benchmark problems are solved by this hybrid method, and the numerical results demonstrate the efficiency and robustness of this method compared to other mathematical and heuristic algorithms.
引用
收藏
页码:1595 / 1605
页数:11
相关论文
共 50 条
  • [21] Prediction of TBM Penetration Rate Using Fuzzy Logic, Particle Swarm Optimization and Harmony Search Algorithm
    Afradi, Alireza
    Ebrahimabadi, Arash
    Hallajian, Tahereh
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2022, 40 (03) : 1513 - 1536
  • [22] Truss optimization with dynamic constraints using a particle swarm algorithm
    Gomes, Herbert Martins
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (01) : 957 - 968
  • [23] Binary optimization using hybrid particle swarm optimization and gravitational search algorithm
    Seyedali Mirjalili
    Gai-Ge Wang
    Leandro dos S. Coelho
    Neural Computing and Applications, 2014, 25 : 1423 - 1435
  • [24] A Hybrid Algorithm based on Differential Evolution, Particle Swarm Optimization and Harmony Search Algorithms
    Ulker, Ezgi Deniz
    Haydar, Ali
    2013 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2013, : 417 - 421
  • [25] Binary optimization using hybrid particle swarm optimization and gravitational search algorithm
    Mirjalili, Seyedali
    Wang, Gai-Ge
    Coelho, Leandro dos S.
    NEURAL COMPUTING & APPLICATIONS, 2014, 25 (06): : 1423 - 1435
  • [26] Computational strategy for structural analysis, design and optimization of trusses using Genetic Algorithm and Particle Swarm Optimization
    Agarwal, Shubi
    Vasan, A.
    2016 IEEE 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (IACC), 2016, : 203 - 207
  • [27] Modified particle swarm optimization algorithm by enhancing search ability of global optimal particle
    Zhang Wei
    Shi Yibing
    Ma Dong
    Liu Guozhen
    PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 1, 2015, : 456 - 462
  • [28] A particle swarm optimization using local stochastic search and enhancing diversity for continuous optimization
    Ding, Jianli
    Liu, Jin
    Chowdhury, Kaushik Roy
    Zhang, Wensheng
    Hu, Qiping
    Lei, Jeff
    NEUROCOMPUTING, 2014, 137 : 261 - 267
  • [29] Research on residential load optimization model based on the adaptive harmony search-particle swarm optimization algorithm
    Zhang, Zhisheng
    Wang, Jidong
    Zhong, Haitao
    Ma, Hanjie
    4TH ASIA CONFERENCE OF INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, 2019, 238
  • [30] Using the Particle Swarm Optimization Algorithm for Robotic Search Applications
    Hereford, James M.
    Siebold, Michael
    Nichols, Shannon
    2007 IEEE SWARM INTELLIGENCE SYMPOSIUM, 2007, : 53 - +