Article ID: | iaor201113526 |
Volume: | 44 |
Issue: | 6 |
Start Page Number: | 773 |
End Page Number: | 784 |
Publication Date: | Dec 2011 |
Journal: | Structural and Multidisciplinary Optimization |
Authors: | Roshanian Jafar, Ebrahimi Masoud, Farmani Mohammad |
Keywords: | optimization, design, programming: quadratic |
In the present paper, particle swarm optimization, a relatively new population based optimization technique, is applied to optimize the multidisciplinary design of a solid propellant launch vehicle. Propulsion, structure, aerodynamic (geometry) and three‐degree of freedom trajectory simulation disciplines are used in an appropriate combination and minimum launch weight is considered as an objective function. In order to reduce the high computational cost and improve the performance of particle swarm optimization, an enhancement technique called fitness inheritance is proposed. Firstly, the conducted experiments over a set of benchmark functions demonstrate that the proposed method can preserve the quality of solutions while decreasing the computational cost considerably. Then, a comparison of the proposed algorithm against the original version of particle swarm optimization, sequential quadratic programming, and method of centers carried out over multidisciplinary design optimization of the design problem. The obtained results show a very good performance of the enhancement technique to find the global optimum with considerable decrease in number of function evaluations.