TY - JOUR
T1 - Parametric reconfiguration improvement in non-iterative concurrent mechatronic design using an evolutionary-based approach
AU - Portilla-Flores, Edgar Alfredo
AU - Mezura-Montes, Efrén
AU - Alvarez-Gallegos, Jaime
AU - Coello-Coello, Carlos Artemio
AU - Cruz-Villar, Carlos Alberto
AU - Villarreal-Cervantes, Miguel Gabriel
N1 - Funding Information:
The first author acknowledges support from COFAA and SIP from IPN. The second author acknowledges support from the Mexican Consejo Nacional de Ciencia y Tecnología (CONACyT) through project no. 79809. The third and fifth authors acknowledge support from CONACyT, project 084060. The fourth author acknowledges support from CONACyT project no. 103570. The last author acknowledges support from CONACyT through a scholarship to pursue a Ph.D. degree at CINVESTAV-IPN's Electrical Engineering Department.
PY - 2011/8
Y1 - 2011/8
N2 - 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.
AB - 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.
KW - Concurrent design
KW - Evolutionary algorithms
KW - Mechatronic systems
KW - Multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=79956160729&partnerID=8YFLogxK
U2 - 10.1016/j.engappai.2011.02.019
DO - 10.1016/j.engappai.2011.02.019
M3 - Artículo
SN - 0952-1976
VL - 24
SP - 757
EP - 771
JO - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
IS - 5
ER -