Program of Route Optimization for Surface Mount

Based on the Ant Colony Algorithm, a new algorithm is proposed for solving the route optimization of surface mount. According to the actual condition, a new state transition strategy for choosing the next electronic component is provided to reduce the numbers of changing of suction mouths. Considering the features of informational hormones updating integrally, a new strategy is presented to update the informational hormones, which is suit for the actual condition of surface mount. Without so many constraints as old algorithm and the deviation from the working facts because of simplifying the problems, it has many advantages. Theoretical analysis and experiments show that this new algorithm is better than the traditional ones in optimizing the route of surface mount.