An Effective Approach to Multi-Objective Optimization of Beam Frame Based on Cross-Sectional Mechanical Property
This paper presents a mathematical modeling of multiobjective optimization for beam frame with multiple cross-sectional variables. The objectives are to minimize the maximum of the sectional area A, the bending moment of inertia Iy and Iz and the torsional moment of inertia It in the whole beam frame, so as to handle the non-conflict variables Iy, Iz and It effectively. The original objectives for weight and strain energy are transformed into implicit constraints. Multi-objective genetic algorithm (MOGA)is applied to solve this optimization problem. As a result, reasonable Pareto solutions are successfully obtained by MOGA. The presented numerical results indicate that this modeling of multi-objective optimization is suitable for searching the optimal cross-sectional variables of beam frame.
beam frame cross-sectional variables multi-objective optimization
W. J. Zuo T. Xu Z. L. Yu R. C. Li
Department of Mechanics, Jilin University, Nanling Campus, Changchun 130025, P.R. China
国际会议
The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)
长沙
英文
54-60
2009-06-01（万方平台首次上网日期，不代表论文的发表时间）