文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | The Shortest Path Selection Based on Adaptive Amoeba Algorithm and D Numbers Theory |
|---|---|
| 卷期 | 28:6 |
| 作者 | Ning-kui Wang 、 Dai-jun Wei |
| 頁次 | 038-051 |
| 關鍵字 | adaptive amoeba algorithm 、 D numbers theory 、 incompleteness 、 shortest path selection 、 uncertainty 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 201712 |
| DOI | 10.3966/199115992017122806004 |
中文摘要
英文摘要
Many methods have been applied to solve the shortest path problem in the transportation system when the evaluation of each period of road is precise. However, in practical applications, the information regarding the road usually changes over time, which results in the variability of traveling time for the same road segment. One critical issue is the quantification of the uncertainty and incompleteness during the information changes. D numbers theory is useful tool to characterize the uncertain and incomplete information. In this paper, we incorporate D numbers theory with adaptive amoeba algorithm to address the route optimization problem in the presence of uncertainty and incompleteness. Two numerical examples of transportation networks are used to illustrate the efficiency of the proposed method.
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