Combinational Models for Enhancing the PTPM Efficiency

Abstract

This paper compared two combinational approaches designed to enhance the Phuket Tourism Planning Model (PTPM) efficiency, which is a tourism package searching model for tourists based on duration and tourism types. PTPM simulated the path to all tourist attractions with respect to the tourist attraction types. Two prominent theories, including particle swarm optimization (PSO) and genetic algorithm (GA) were conducted with fuzzy set using the same data set. The criteria for travelling routing consist of the tourist attraction type which travellers want most and travel time. The experimental results show that the travelling routing using a combination of PSO and fuzzy set is more efficient than that of GA and fuzzy set under limited time and distance conditions. PTPM based on a combination of PSO and fuzzy set provided a shorter distance than the latter at 9.07 percent.