| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000383479 |
| ISSN: | 1870-9044 |
| Autores: | Villarreal Cervantes, Miguel G1 Cruz Muciño, Daniel de la1 Ricaño Rea, Carlos1 Pantoja García, Jesús Said1 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Innovación y Desarrollo Tecnológico en Cómputo, México, Distrito Federal. México |
| Año: | 2015 |
| Periodo: | Ene-Jun |
| Número: | 51 |
| Paginación: | 39-46 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Differential evolution (DE) is a powerful algorithm to find an optimal solution in real world problems. Nevertheless, the binomial crossover parameter is an important issue for the success of the algorithm. The proper selection of the binomial crossover parameter depends on the problem at hand. In this work, the effect of the binomial crossover in the DE/Rand/1/bin, DE/Best/1/Bin and DE/Current to rand/1/Bin is empirically studied and analyzed in the optimum design of the kinematic and the dynamic parameters of links for a parallel robot. The optimum design minimizes mechanical energy and consequently reduces the energy provided by the actuator. Based on the experimental results, the range of crossover parameter values that properly explores the search space is obtained. The importance of finding a proper crossover parameter is highlighted. In addition, the optimal design shows a decrease in the parallel robot mechanical energy compared with non-optimal design |
| Disciplinas: | Ciencias de la computación, Ingeniería |
| Palabras clave: | Inteligencia artificial, Algoritmos, Evolución diferencial, Diseño óptimo, Entrecruzamiento binomial, Mecatrónica |
| Keyword: | Computer science, Engineering, Artificial intelligence, Algorithms, Differential evolution, Optimal design, Binomial crossover, Mechatronics |
| Texto completo: | Texto completo (Ver HTML) |
