SciELO - Scientific Electronic Library Online

 
 número51Traffic Accidents Forecasting using Singular Value Decomposition and an Autoregressive Neural Network Based on PSOThe Multiple Knapsack Problem Approached by a Binary Differential Evolution Algorithm with Adaptive Parameters índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Polibits

versión On-line ISSN 1870-9044

Resumen

VILLARREAL-CERVANTES, Miguel G.; DE-LA-CRUZ-MUCINO, Daniel; RICANO-REA, Carlos  y  PANTOJA-GARCIA, Jesus Said. Influence of the Binomial Crossover in the DE Variants Based on the Robot Design with Optimum Mechanical Energy. Polibits [online]. 2015, n.51, pp.39-46. ISSN 1870-9044.  https://doi.org/10.17562/PB-51-6.

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.

Palabras llave : Differential evolution; binomial crossover; optimum design; mechatronic design.

        · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons