Title :
Genetic algorithm method and model constrains based on polychromatic sets theory in sequencing machining step on a machining center
Author :
Li, Yunlong ; Li, Zongbin ; Liu, Enfu
Author_Institution :
State Key Lab. for Manuf. Syst. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
An approach to the solution of sequencing machining step on a machining center is proposed. Constraints model is established based on polychromatic sets theory and it is combined with a genetic algorithm to a sequence machining step on a machining center. In the model part contour matrix is used to formalize the conditioned restrictions visually and comprehensively, through which the computer programming is easier. In the algorithm, the process of encoding, mutation and crossover which is different because of the constraints model is designed. All the solutions are valid by searching the contour matrix, thus the searching range is reduced. Not only valid solutions are guaranteed, but also the convergent speed is improved. A test part was selected to demonstrate the algorithm. The result shows that the algorithm is fit for sequencing machining step on a machining center.
Keywords :
genetic algorithms; machining; probability; scheduling; search problems; set theory; computer programming; constraint model; convergence speed; crossover probability; encoding process; genetic algorithm method; machining center; machining step sequencing; mutation probability; part contour matrix; polychromatic set theory; scheduling problem; search problem; Algorithm design and analysis; Constraint theory; Encoding; Genetic algorithms; Genetic mutations; Machining; Milling machines; Programming; Set theory; Testing; Constraints model; genetic algorithm; polychromatic sets theory; sequencing machining step;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262678