|
|||||
|
|
A modified directed search domain algorithm for multiobjective engineering and design optimization |
|
| Authors: | Tohid Erfani Sergey V. Utyuzhnikov Brian Kolo |
| Affiliation: | 1. Civil, Environmental and Geomatic Engineering Department, University College London, Gower Street, London, WC1E 6BT, UK 2. School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, UK 3. Zifian Inc., 11260 Roger Bacon Drive, Reston, VA, 20190, USA |
| Abstract: | Multiobjective optimization is one of the key challenges in engineering design process. Since the answer to such problem is not unique, a set of evenly distributed solutions is particularly important for a designer. The Directed Search Domain (DSD) method is a numerical optimization approach that has proven to be efficient enough to tackle such optimization problems. In this paper, we propose two modifications to the DSD approach which make the solution algorithm simpler for program implementation. These modifications are related to the control of the search domain and reformulation of the appropriate single objective optimization problem. As a result, the computational efficiency of the method is increased due to the lower number of objective function evaluations. The capabilities of the new approach are demonstrated on a set of test cases. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |