黑龙江科技大学学报2024，Vol.34Issue(6)：942-948,7.DOI:10.3969/j.issn.2095-7262.2024.06.019
改进猴群算法的结构可靠性优化设计
Design for structural reliability optimization based on improved Monkey algorithm
摘要
Abstract
This paper proposes a Monkey algorithm based on Gaussian mutation and simulated annea-ling to address the problems in structural multi-objective optimization with the Monkey optimization algo-rithm,including the low computational accuracy,the poor global convergence capability,and the suscep-tibility to local optima.The study is accomplished by selecting six classical test functions to evaluate the optimization capability and convergence speed of the hybrid monkey algorithm;and constructing an opti-mization model to to perform calculations on a 15-bar truss structure.The results show that the proposed method significantly improves optimization accuracy and convergence speed.In the case study,the struc-tural mass decreases by 0.67%compared to the original algorithm,demonstrating that the hybrid monkey algorithm provides superior accuracy and stability in the structural reliability optimization design.关键词
结构优化/可靠性/猴群算法/模拟退火算法/高斯变异Key words
structure optimization/reliability/Monkey group algorithm/simulated annealing algo-rithm/Gaussian mutation分类
通用工业技术引用本文复制引用
姜封国,梁爽,李勇,赵家伯..改进猴群算法的结构可靠性优化设计[J].黑龙江科技大学学报,2024,34(6):942-948,7.基金项目
黑龙江省自然科学基金项目(LH2022E108) （LH2022E108）
