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Abstract. Route planning and optimization is significant for milk run system. Therefore, taking minimizing the transportation cost as objective, a route optimization model of milk run was developed. For the discreteness of solution, a discrete firefly algorithm based on bi-layer coding was proposed. Finally, through a computational experiment, the feasibility and effectiveness of the model and algorithm were verified. Simulation results show that the algorithm has advantages in precision and convergence speed.

In order to improve the efficiency of collaborative product design, project task and team should be allocated and scheduled reasonably. Firstly, the matching degree between task and team was defined. Then, trading-off project duration and cost, multi-objective scheduling model of collaborative product design based on matching degree was established, and the improved genetic algorithm was redesigned to solve the scheduling model. Through an example of collaborative design, the feasibility and validity of the proposed model and algorithm were verified. Simulation result shows that the algorithm has advantages in precision and convergence speed.

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