Parametric reconfiguration plays a key role in non-iterative concurrent design of mechatronic systems. This is because it allows the designer to select, among different competitive solutions, the most suitable without sacrificing sub-optimal characteristics. This paper presents a method based on an evolutionary algorithm to improve the parametric reconfiguration feature in the optimal design of a continuously variable transmission and a five-bar parallel robot. The approach considers a solution-diversity mechanism coupled with a memory of those sub-optimal solutions found during the process. Furthermore, a constraint-handling mechanism is added to bias the search to the feasible region of the search space. Differential Evolution is utilized as the search algorithm. The results obtained in a set of five experiments performed per each mechatronic system show the effectiveness of the proposed approach. © 2010 Elsevier Ltd. All rights reserved.
|Idioma original||Inglés estadounidense|
|Número de páginas||15|
|Publicación||Engineering Applications of Artificial Intelligence|
|Estado||Publicada - 1 ago 2011|
Portilla-Flores, E. A., Mezura-Montes, E., Alvarez-Gallegos, J., Coello-Coello, C. A., Cruz-Villar, C. A., & Villarreal-Cervantes, M. G. (2011). Parametric reconfiguration improvement in non-iterative concurrent mechatronic design using an evolutionary-based approach. Engineering Applications of Artificial Intelligence, 757-771. https://doi.org/10.1016/j.engappai.2011.02.019