文章基本信息

标题：ONLINE MOBILE-BASED PERSONAL TOUR APPLICATION USING ARTIFICIAL BEE COLONY OPTIMIZATION ALGORITHM
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作者：SAWSAN ALSHATTNAWI ; IYAD ABU DOUSH ; ANAS ALSOBEH 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：17
页码：4565-4578
出版社：Journal of Theoretical and Applied
摘要：Tourists that visit multiple locations need to have prior knowledge about interesting and attractive destinations. Selecting the most suitable tour plan for any tourist is not an easy task. Building a schedule of proposed destinations may allow the tourist to navigate between these destinations efficiently based on his/her time and budget. This paper applies the Artificial Bee Colony optimization algorithm (ABC) to build a tour plan by selecting the Points of Interest (POIs). The algorithm is applied to the user mobile phone. Tourist must specify the start place, the end place, the stay period (number of days) and the preferred POIs, if any, and some other preferences. The objective is to maximize the tourist satisfaction by selecting several POIs which satisfy the provided time and budget. The system is built on top of Android for its simplicity, popularity, and availability of web services. To evaluate the efficiency of the proposed technique, we build a dataset of 50 attractions in Jordan. The algorithm fitness function is tuned based on comparing the resulted tour plan with a tour plan generated by an expert. The evaluation shows that the proposed technique gives the maximum number of POI within the provided time and budget.
关键词：Mobile Application; Artificial Intelligence; BEE Colony Algorithm; Web Service; Tour Plan.