期刊
ADVANCES IN ENGINEERING SOFTWARE
卷 121, 期 -, 页码 59-74出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2018.03.006
关键词
Differential evolution; Continuous optimization; Discrete optimization; p-best strategy; Elitist selection
类别
资金
- National Research Foundation of Korea (NRF) - Korea government (MSIP) [2011-0030040, 2015R1A2A2A01007339]
- National Research Foundation of Korea [22A20130012002, 2011-0030040, 2015R1A2A2A01007339] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
A robust method for sizing reliability-based design optimization (RBDO) of truss structures is developed by integrating nonlinear inelastic analysis, a structural reliability analysis method, and a proposed optimization method based on differential evolution (DE) algorithm. Both discrete and continuous optimizations are considered. Compared to conventional DE, three main improvements are introduced in the proposed optimization method such as: (1) a new mutation scheme based on p-best strategy to balance between local and global searches; (2) modifications of the scale factor and crossover rate parameters; (3) a multi-comparison technique to reduce the useless objective function evaluations. 20 test functions and 4 real-world examples are first considered to demonstrate the performance of the proposed optimization method for deterministic optimization problems. 3 nonlinear inelastic truss structures are then carried out to investigate the robustness of proposed RBDO method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据