| Title |
Multi-Objective Structural Optimization using Particle Swam Optimization |
| Authors |
이상진(Lee, Sang-Jin) ; 배정은(Bae, Jungeun) |
| DOI |
https://doi.org/10.5659/JAIK.2020.36.11.281 |
| Keywords |
PSO; Welded Beam; Multi Objective Function; Penalty Function; Displacement Constraint; Pareto Solution |
| Abstract |
Particle swam optimization (PSO) technique is introduced to produce the Pareto optimal solutions in structural optimization. Both cost and
deflection of beam to be minimized are considered as the objective functions and the values of stress and deflection are adopted as
constraints. The weighted sum method is introduced to transform the multi-objective function problem into the single objective function
problem and new weight function is introduced. The penalty function method is used to enforce design constraints during optimization
process. Two numerical examples are carried out to verify the capability of PSO in structural optimization with multi-objective functions.
From numerical results, the present PSO is a very effective way of finding Pareto front. Finally, we provide the present numerical results as
future reference solutions using PSO. |