Journal
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
Volume 45, Issue 1, Pages 25-42Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/15397734.2016.1141365
Keywords
Multi-objective optimization; nonlinear interval number programming; Pareto optimal set; uncertainty structures
Categories
Funding
- National Natural Science Foundation of China [51305047]
- Specialized Research Fund for the Doctoral Program of Higher Education [20134316120003]
- Science Foundation of State Key Laboratory for Strength and Vibration of Mechanical Structures [SV2016-KF-09]
- Science Fund of the Key Laboratory of Lightweight and Reliability Technology for Engineering Vehicle, Education Department of Hunan Province [2014KFJJ06]
Ask authors/readers for more resources
A multi-objective optimization method for uncertain structures is developed based on nonlinear interval number programming (NINP) method. The NINP method is employed to transform each uncertain objective function into a deterministic single-objective optimization problem. Using the constraint penalty function method, a deterministic multi-objective and non-constraint optimization problem is formulated in terms of penalty functions. Then the micro multi-objective genetic algorithm and the intergeneration projection genetic algorithm are adopted as outer layer and inner optimization operator to solve the nesting optimization problem, respectively. Finally, four numerical examples are provided to demonstrate the effectiveness of the present method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available