关键词: 漂流, 目标规划, 遗传算法, 数学模型, 优化方案

Abstract: In order to solve the problem that how to arrange the campsites in the best way for passengers when they are camping along the river and schedule an optimal mix of trips, including travel time and selecting carrier, this paper addresses to the complex problem with consideration of three key criteria: carrying capacity of the river, utilization of the campsites, and trip satisfaction. From the perspective of both managers and the visitors, it designs two models which are respectively based on decision strategy and reservation strategy to optimize the mix of trips. Two objective functions are built: the maximum “utilization of the campsites” and the maximum “trip satisfaction”. Through constraint analysis and double goal programming, we calculate the optimal solution by the weight factor. Then computer simulations are run based on genetic algorithm, which contributes to the schedules of optimal mix of trips based on the models and have actual reference value for the managers to set up optimum management plans.

Key words: rafting, objective programming, genetic algorithm, mathematical model, prioritization scheme