A Grid Algorithm for Injection Gate Location Optimization Based on MDG

The injection mold optimization problems always require huge computer resources, so the grid is a good choice for solving these problems. But for the heterogeneous, distributed and dynamic characters of the grid resources, it is difficult to finish the complex problems efficiently in collaborative way by grid. Based on the Globus Toolkits 4, a four-layer Mold Design Grid (MDG) platform was constructed to meet resource sharing for the complex injection mold optimization. By using multi-population genetic strategy and information-entropy based searching technique, a grid algorithm was presented to optimize the gate location of injection mold on MDG. It deals with the massive high coupling task-blocks in collaborative way and reduces the times of the iteration efficiently. Examples have been conducted successfully by using the proposed grid algorithm on MDG, and results indicate that the proposed grid algorithm performs high speedup and efficiency.