Tourism Product Design and Development Based on Heuristic Algorithm

Tourism product traffic route optimization directly affects income and development of the enterprise. In order to overcome the disadvantage that ant colony algorithm is easy to fall into local optimal solution, the heuristic factor and information volatilization coefficient adopts the principle of dynamic setting to increase the diversity of the path selection. Then the improved heuristic algorithm is used in tourism product route optimization design. The improved ant colony algorithm is used in tourism transportation route optimization design, which reduces difficulty in solving complex optimization problem and the improved ant colony algorithm has better result.