Applying Genetic Algorithms to Evolve The Best Combination of Traffic Prevention Policies Against Pandemic Novel Influenza
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 98 === An effective traffic prevention policy can delay the spread of the novel influenza and can decrease the synchrony in timing of epidemics among all cities and rural areas so as to prevent a sudden surge of infections. By doing so, the limited medical resou...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/66147474838864709477 |