An integrated method of multi-objective optimization for complex mechanical structure

作者：Bin Xu^*; Nan Chen; Huajun Che

来源：Advances in Engineering Software, 2010, 41(2): 277-285.

DOI：10.1016/j.advengsoft.2009.07.004

• FEM analysis
• Experimental stress analysis
• Multi-objective optimization
• NLPQL algorithm
• NSGA-II

An integrated method of multi-objective optimization for complex mechanical structures is presented, which integrates prototype modeling, FEM analysis and optimization. To explore its advantages over traditional methods, optimization of a manipulator in hybrid mode aerial working vehicle (HMAWV) is adopted. The objective is to increase its working domain and decrease the cost under the constraint of enough strength, and the design variables are geometric dimensions. NLPQL and NSGA-II are synthesized to achieve optimal solutions. The results indicated that this integrated method was more efficient than enumerative search algorithm. NSGA-II could approximate the global Pareto front precisely, and the relative error between NLPQL and NSGA-II is trivial. Therefore, this integrated method is effective and shows a potential in engineering applications.

• 出版日期2010-2
• 单位东南大学