Multi-objective collaborative multidisciplinary design optimization using particle swarm techniques and fuzzy decision making

作者：Farmani Mohammad Reza^*; Roshanian Jafar; Babaie Meisam; Zadeh Parviz M

来源：Proceedings of the Institution of Mechanical Engineers - Part C: Journal of Mechanical Engineering Science , 2012, 226(C9): 2281-2295.

DOI：10.1177/0954406211432981

• Multidisciplinary design optimization
• collaborative optimization
• multi-objective particle swarm optimization
• fuzzy decision making

This article focuses on the efficient multi-objective particle swarm optimization algorithm to solve multidisciplinary design optimization problems. The objective is to extend the formulation of collaborative optimization which has been widely used to solve single-objective optimization problems. To examine the proposed structure, racecar design problem is taken as an example of application for three objective functions. In addition, a fuzzy decision maker is applied to select the best solution along the pareto front based on the defined criteria. The results are compared to the traditional optimization, and collaborative optimization formulations that do not use multi-objective particle swarm optimization. It is shown that the integration of multi-objective particle swarm optimization into collaborative optimization provides an efficient framework for design and analysis of hierarchical multidisciplinary design optimization problems.

• 出版日期2012