The Application of Mobile Cloud Computing on Genetic Algorithm for Tour Planning
碩士 === 長榮大學 === 資訊管理學系碩士班 === 101 === In this thesis, we introduce our cloud mobile computing app for tour planning. Most of tourist websites or apps only provide static information, such as the introduction of scenic spots and pre-scheduled tour packages, which are not friendly for the tourists or...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/93256449273438547071 |
| Summary: | 碩士 === 長榮大學 === 資訊管理學系碩士班 === 101 === In this thesis, we introduce our cloud mobile computing app for tour planning. Most of tourist websites or apps only provide static information, such as the introduction of scenic spots and pre-scheduled tour packages, which are not friendly for the tourists or backpacking travellers those who are unfamiliar with the visiting place. Our app provides not only the static spot information but also the dynamic customized tour planning. We adopt the genetic algorithm for solving the Traveling Salesman Problem by the cloud mobile computing model. For the offline situation, we also implement a Region Shortest Path heuristic algorithm in app for tour planning.
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