Intelligent Vacation Planner System Using Ant Colony Optimization

Perly , Peh Thai Lee (2010) Intelligent Vacation Planner System Using Ant Colony Optimization. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Tourism is an information-intensive industry and it is an important engine in developing the government's industrial strategy in Malaysia. The problem nowadays is the lack of vacation planning system that can help users in planning their holidays. Thus, the objective of this project is to develop an Intelligent Vacation Planner System (NPS) which contains an intelligent module that can optimize the travelling distance based on user's preference. The target users of the system are the potential tourist to Malaysia and the administrators that manage the website. The system is using 3-tier web based application as the architecture. The technologies that used to develop the system are hypertext markup language (HTML), javascript, java language, Structured Query Language (SQL) and Java Server Page (JSP). The project methodology that used in this project is Object-Oriented Software Engineering (OOSE). The optimisation uses Ant Colony System technique to optimize the route. It generates customise travel plan based on the selected destination, departure location, transport type, travel group size, accommodation type and travel duration. The test strategies that use to test the system after implementation are black-box testing and bottom-up testing. The testing procedures that used in testing the system are code debugging, functionality testing and security testing. As a conclusion, the proposed system in this study has fulfilled the study objectives. The ACO technique performs well in optimizing Travelling Salesman Problem (TSP). Besides that, the system contributes in tourism area to promote Malaysia tourism. For further improvement, more research on AI technique has to be made so that suitable technique is used for future system. The administrator module can add in more functions so that the administrators can manage the webpage easily.

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