this paper wants to apply a multi-objective optimization method for optimizing truss design problem. This method is named as Multi-Objectives Bees Algorithm (MOBA). In the first problem, objective functions are minimizing stress in the two members and minimizing volume of truss , and on each of other three problems, the objectives which should be optimized are value of total weight of structure and also total displacement of nodes with considering limits on cross section of elements. The bees algorithm is developed based on principle of multi-objective problems. A clustering algorithm is applied for multi-objective bees algorithm in order to manage the size of the Pareto-optimal set. The results are good evidence for robustness and effectiveness of multi-objective bees algorithm in solving multi-objective optimal truss design.
Moradi, A., Mirzakhani Nafchi, A., & Ghanbarzadeh, A. (2015). Multi-Objective Optimization of Truss Structures Using Bees Algorithm. Scientia Iranica, 22(5), 1789-1800.
MLA
A. Moradi; A. Mirzakhani Nafchi; A. Ghanbarzadeh. "Multi-Objective Optimization of Truss Structures Using Bees Algorithm". Scientia Iranica, 22, 5, 2015, 1789-1800.
HARVARD
Moradi, A., Mirzakhani Nafchi, A., Ghanbarzadeh, A. (2015). 'Multi-Objective Optimization of Truss Structures Using Bees Algorithm', Scientia Iranica, 22(5), pp. 1789-1800.
VANCOUVER
Moradi, A., Mirzakhani Nafchi, A., Ghanbarzadeh, A. Multi-Objective Optimization of Truss Structures Using Bees Algorithm. Scientia Iranica, 2015; 22(5): 1789-1800.
)