Application of Synergistic Optimization Method by Maximin Fitness Function Strategy Based Multi-Objective Particle Swarm Optimization Algorithm in Metal Bellows Structural Design

Abstract:

In this paper, the forming process is applied to the structure design of the metal bellows for the synergistic optimization.With bellows minimum overall stiffness and minimum weight for the optimization objectives to establish multi-objective optimization design model, using the Maximin fitness function strategy based multi-objective particle swarm optimization algorithm and introduce the multiple subgroup cooperative search strategy by master-slave clustering to get the optimized solution at the same time. The algorithm is applied to the synergistic optimization of the metal bellows structure design. The results show that the convergent speed of the algorithm is fast and can effectively approximate the actual bellows structure design, and provide users with more practical and intuitive effectively design scheme.

• Periodical: Advanced Materials Research (Volume 722)
• Pages: 550-556
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.722.550
• Online since: July 2013
• Authors: Xiao Mo Yu, Ai Ling Qin, Jia Hai Xue, Jun Ke Ye, Wen Jing Zhou
• Keywords: Bellows, Forming Process, Maximin Fitness Function, Multi-Objective Particle Swarm, Structure Design, Synergistic Optimization

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