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題名：運用簡群演算法與層級分析法解決國軍野戰後勤設施選址問題
書刊名：危機管理學刊
作者：賴智明／徐冠中
作者(外文)：Lai, C. M.／Syu, G. J.
出版日期：2020
卷期：17:1
頁次：頁43-54
主題關鍵詞：軍事後勤；設施選址；簡群演算法；效用；Military logistic problem；Facility location problem；Simplified swarm optimization；Average
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:5
本研究提出的國軍野戰後勤設施選址問題（Military Logistic Depot Location Problem, MLDLP）是在解決國軍戰時補給系統的兩階層設施選址問題。與過去設施選址問題最大差異在於，MLDLP的目標函數是最大化被徵用建築物的平均效用，而建築物的效用取決於其固有的數個屬性。為此，本研究提出一個整數規劃模型，同時提出兩階段的方法求解。第一階段，運用層級分析法計算屬性的相對權重作為目標函數的係數。第二階段，應用簡群演算法，對整數規劃模型進行求解。兩階段的求解方法透過18組隨機生成的問題進行實證分析，並將計算結果與基因演算法及粒群演算法進行比較。
This work proposed a military logistic depot location problem (MLDLP) to deal with a two-level facility location problem in the military logistic system. Unlike most previous researches, the objective of MLDLP is to maximize the average utility of requisitioned buildings, and the utility of a selected building depends on its inherent attributes. This work proposed an integer programming model and introduced a two-stage method to deal with this problem. In the first stage, AHP is applied to estimate the relative weights of the attributes as the coefficients of the objective function. In the second stage, simplified swarm optimization (SSO) is adopted to solve the integer programming. To empirically verify the performance of SSO, experiments are conducted using eighteen randomly generated problems and the corresponding results are compared with genetic algorithm and particle swarm optimization.
期刊論文
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9.Kim, D. G.、Kim, Y. D.(2010)。A branch and bound algorithm for determining locations of long-term care facilities。European journal of operational research，206(1)，168-177。  new window
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11.Fernandes, D. R.、Rocha, C.、Aloise, D.、Ribeiro, G. M.、Santos, E. M.、Silva, A.(2014)。A simple and effective genetic algorithm for the two-stage capacitated facility location problem。Computers & Industrial Engineering，75，200-208。  new window
12.Lee, J. M.、Lee, Y. H.(2010)。Tabu based heuristics for the generalized hierarchical covering location problem。Computers & Industrial Engineering，58(4)，638-645。  new window
13.Melo, M. T.、Nickel, S.、Saldanha-da-Gama, F.(2012)。A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon。International Journal of Production Economics，136(1)，218-230。  new window
14.Ding, J. F.(2013)。Applying an integrated fuzzy MCDM method to select hub location for global shipping carrier-based logistics service providers。WSEAS transactions on information science and applications，10(2)，47-57。  new window
15.Gunawan, K.、Putra, I. N.、Sukandari, B.、Suharyo, O. S.、Susilo, A.(2018)。Location Determination of Logistics Warehouse facility using Fuzzy Multi Criteria Decision Making (FMCDM) Approach in Western Sea Sector of Indonesia。International Journal of Applied Engineering Research，13(3)，1597-1604。  new window
16.Sennaroglu, B.、Celebi, G. V.(2018)。A military airport location selection by AHP integrated PROMETHEE and VIKOR methods。Transportation Research Part D: Transport and Environment，59，160-173。  new window
17.Yeh, W. C.(2009)。A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems。Expert Systems with Applications，36(5)，9192-9200。  new window
18.Lai, C. M.、Yeh, W. C.(2016)。Two-stage simplified swarm optimization for the redundancy allocation problem in a multi-state bridge system。Reliability Engineering & System Safety，156，148-158。  new window
19.Rossi, F.、Velázquez, D.、Monedero, I.、Biscarri, F.(2014)。Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants。Expert Systems with Applications，41(10)，4658-4669。  new window
20.Kang, Q.、He, H.(2011)。A novel discrete particle swarm optimization algorithm for meta-task assignment in heterogeneous computing systems。Microprocessors and microsystems，35(1)，10-17。  new window
21.Aikens, C. H.(1985)。Facility Location Models for Distribution Planning。European Journal of Operational Research，22(3)，263-279。  new window
22.Klose, Andreas(2000)。A Lagrangean Relax-and-cut Approach for the Two-stage Capacitated Facility Location Problem。European Journal of Operational Research，126(2)，408-421。  new window
23.喻志攻(20030100)。臺澎防衛作戰空戰戰略探討。國防政策評論，3(2)，172-189。  延伸查詢new window
24.Klose, Andreas、Drexl, Andreas(2005)。Facility Location Models for Distribution System Design。European Journal of Operational Research，162(1)，4-29。  new window
25.Tragantalerngsak, Suda、Holt, John、Rönnqvist, Mikael(2000)。An Exact Method for the Two-echelon, Single-source, Capacitated Facility Location Problem。European Journal of Operational Research，123(3)，473-489。  new window
26.Canel, C.、Khumawala, B. M.(1997)。Multi-period International Facilities Location: An Algorithm and Application。International Journal of Production Research，35(7)，1891-1910。  new window
會議論文
1.Chang, P. C.、He, X.(2014)。Macroscopic Indeterminacy Swarm Optimization (MISO) algorithm for real-parameter search。  new window
圖書
1.(2007)。國軍聯合作戰要綱。國防大學陸軍指揮參謀學院。  延伸查詢new window
2.Weber, A.(1909)。Ueber den standort der industrien。Рипол Классик。  延伸查詢new window
3.Saaty, Thomas L.(1980)。The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation。McGraw-Hill。  new window
單篇論文
1.沈明室(2007)。從臺澎防衛作戰探論[全民國防教育]。  延伸查詢new window
 
 
 
 
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