期刊论文

Fu, Chunming

英文

Applied Mathematical Modelling

0307-904X

2020

80

384-393

10.1016/j.apm.2019.11.029

This work is supported by National Natural Science Foundation of China (Grant No. 51905257 ), the Research Foundation of Education Bureau of Hunan Province, China (Grant No. 18C0463 ) and the Opening Project of Cooperative Innovation Center for Nuclear Fuel Cycle Technology and Equipment, University of South China (Grant No. 2019KFY07 ).

本校为第一且通讯机构

A direct solution framework based on multi-objective evolutionary algorithm is developed to solve the structural optimization problems with interval uncertainties. The midpoint and radius of the uncertain original objective are treated as two equally important objectives, which are solved by a multi-objective evolutionary algorithm. The satisfaction value of interval possibility degree model is utilized to deal with nonlinear uncertain constraints and then the degree of constraint violation based on this model is calculated to judge the design vector individuals which one is feasible or infeas...