Optimal travel management using software agent

The software agents and multi-agent systems will be one of the landmark technologies in computer science that will bring extra theoretical power, methods and techniques that will broaden the field of computer applications. The objective of this paper is to use the software agents for extracting data from different sources intelligently and provide an optimal travel plan for a traveler. Planning for a travel requires collecting a wide range of data from number of sources, which includes details about schedules of flights, ticket prices, hotel accommodation, locations, travel expenses etc. Nowadays a lot of such information's are available on the Internet. These data can be used to facilitate the travelers for planning and executing their trips in a better way. The agents have used the Tabu search algorithm for finding the optimal value. We have used JADE platform to implement the application. These agents we designed in this model will search the knowledge base in-order to obtain the data. These data collected by the different agents helps to build an interactive travel planning application which helps for a successful travel.