Multi-objective optimization of truss structures using the bee algorithm

作者：Moradi A; Nafchi A Mirzakhani^*; Ghanbarzadeh A

来源：Scientia Iranica, 2015, 22(5): 1789-1800.

• Bee Algorithm (BA)
• Multi-objective
• Optimization
• Pareto
• Truss design

This paper aims to apply a multi-objective optimization method for optimizing a truss design problem. This method is named the Multi-Objective Bee Algorithm (MOBA). In the first problem, objective functions minimize stress in two members and minimize the volume of the truss. In each of the other three problems, the objectives to be optimized are the value of the total weight of the structure and the total displacement of nodes, considering limits on the cross section of the elements. The bee algorithm is developed based on the principle of multi-objective problems. A clustering algorithm is applied for the multi-objective bee algorithm in order to manage the size of the Pareto-optimal set. The results provide good evidence of the robustness and effectiveness of the multi-objective bee algorithm in solving the multi-objective optimal truss design.

• 出版日期2015-10