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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72839
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dc.contributor.advisor孔令傑(Ling-Chieh Kung)
dc.contributor.authorKuang-Yu Hsuehen
dc.contributor.author薛光佑zh_TW
dc.date.accessioned2021-06-17T07:07:43Z-
dc.date.available2019-07-31
dc.date.copyright2019-07-31
dc.date.issued2019
dc.date.submitted2019-07-24
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Li, Y., T. Dong, M. Bikdash, Y. Song. 2005. Path planning for unmanned vehicles using ant colony optimization on a dynamic Voronoi diagram. International Conference on Artificial Intelligence 2.
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Skamarock, W. C., J. B. Klemp, M. G. Duda, L. D. Fowler, S. Park, T. D. Ringler. 2012. A multiscale nonhydrostatic atmospheric model using centroidal Voronoi tesselations and C-Grid staggering. Monthly weather review from American Meteorological Society .
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72839-
dc.description.abstract軍用載具的路線規劃相關的問題研究已經行之有年,言簡意賅地來說,此問題目的是要協助規劃一條路徑,使該軍用載具在一個三維的戰鬥空間中,能依照該路徑從起點飛行至終點,以完成相關任務或其他軍事目的。除了能讓該載具能在有油量限制的情況下,以最安全及最舒適的方式到達終點,本研究加以考慮了「轉彎」的成本,空中載具在進行轉彎動作時,除了會增加油量消耗,更重要的是,會對駕駛者產生巨大的不舒服感。本研究首先建構了此問題的整數規劃模型,並提出了一個新的兩階段啟發式演算法來最小化路徑風險與轉折成本的加權總和。接著,本研究提出了相關的數值實驗結果,結果顯示使用該演算法算產生之路徑的效益在多數情境下接近最佳解,同時保持良好的效率。最後,本研究提供了數個模擬的個案研究來實際使用該啟發式演算法,以便更具體地顯示本研究提出之啟發式演算法的效用。zh_TW
dc.description.abstractRoute planning for military aircrafts has been studied for years. Briefly, the purpose of this problem is to plan a route with certain velocity to avoid the risk caused by enemy’s defensive facilities in an unrestricted three-dimensional space, given a take-off place and a target destination. In this study, we also focus on another specific condition which is “the number of turns the route has”. When the air vehicle makes a turn, this turning action not only consumes more fuel, but brings lots of discomforts to the driver. We first formulate the problem with specific conditions so as to suit our case. To enable the vehicle to reach its destination in the safest and the most comfortable way with limited fuel. This study proposes a two-phase heuristic algorithm to minimize the weighted sum of risk and the number of turns of a route. Then, we conduct the numerical experiments to examine the effectiveness and efficiency of the algorithm. Routes generated by out heuristic algorithm from experiments are approximately optimal with excellent efficiency in most cases. Also, we present several case studies to demonstrate the result of route planning more specifically.en
dc.description.provenanceMade available in DSpace on 2021-06-17T07:07:43Z (GMT). No. of bitstreams: 1
ntu-108-R06725049-1.pdf: 5741072 bytes, checksum: cf40535d4739b44d355ff08f00b0908f (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents1 Introduction ... p1
1.1 Background and motivation ... p1
1.2 Research objective ... p3
1.3 Research plan ... p3
2 Literature Review ... p5
2.1 Research based on the Voronoi diagram ... p5
2.2 Research based on others ... p7
3 Problem Description and Formulation ... p9
3.1 Description ... p9
3.2 Formulation ... p11
4 The ART Algorithm ... p16
4.1 The algorithm ... p16
4.1.1 The first phase ... p17
4.1.2 The second phase ... p17
4.2 An example ... p19
4.3 Complexity... p21
5 Numerical Experiments ... p24
5.1 Experiment design ... p24
5.2 Benchmarks ... p25
5.3 The comparison between ART and benchmarks ... p26
5.4 Compare with the optimal solution... p30
6 Case Study ... p32
6.1 Case design ... p32
6.2 Metrics ... p34
6.3 Planning results ... p35
7 Conclusions and Future Works ... p42
7.1 Conclusions ... p42
7.2 Future works ... p43
Appendix A: Experiment results - Effectiveness ... p44
Appendix B: Experiment results - Efficiency ... p45
Bibliography ... P46
dc.language.isoen
dc.subject軍用載具zh_TW
dc.subject最佳化演算法zh_TW
dc.subject風險最小化zh_TW
dc.subject作業研究zh_TW
dc.subject路徑規劃zh_TW
dc.subjectRisk Minimizationen
dc.subjectRoute Planningen
dc.subjectOperations Researchen
dc.subjectOptimization Algorithmen
dc.subjectMilitary Aircraften
dc.title軍用飛行載具路線規劃:考慮路徑風險與轉折成本zh_TW
dc.titleRoute Planning for a Military Aircraft: Considering Risk and the Number of Turnsen
dc.typeThesis
dc.date.schoolyear107-2
dc.description.degree碩士
dc.contributor.oralexamcommittee林妙聰(Miau-Tsung Ling),黃奎隆(Kui-Long Huang)
dc.subject.keyword軍用載具,最佳化演算法,風險最小化,作業研究,路徑規劃,zh_TW
dc.subject.keywordMilitary Aircraft,Route Planning,Risk Minimization,Operations Research,Optimization Algorithm,en
dc.relation.page48
dc.identifier.doi10.6342/NTU201901765
dc.rights.note有償授權
dc.date.accepted2019-07-24
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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