A multi-objective optimization method for uncertain structures based on nonlinear interval number programming method |
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| Authors: | Xin Liu Lairong Yin |
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| Affiliation: | 1. Key Laboratory of Lightweight and Reliability Technology for Engineering Vehicle, Education Department of Hunan Province, Changsha University of Science and Technology, Hunan, PR China;2. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an, Shanxi, PR China |
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| Abstract: | ![]()
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. |
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| Keywords: | Multi-objective optimization nonlinear interval number programming Pareto optimal set uncertainty structures |
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