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題名:都市計畫草圖替選方案之分析模式
書刊名:都市與計劃
作者:馮正民林禎家
作者(外文):Feng, Cheng-minLin, Jen-jia
出版日期:1997
卷期:24:2
頁次:頁153-169
主題關鍵詞:配置草圖都市規劃多目標規劃基因演算法Sketch mapUrban planningMultiobjective programmingGenetic algorithm
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(5) 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:3
  • 共同引用共同引用:0
  • 點閱點閱:18
     都市計畫配置草稿替選方案的產生過程,一直被視為機關內部行政作業,致產生 兩個問題: 一是方案數目稀少,很難涵蓋到最佳的配置; 二是配置內容為規劃者的主觀想法 ,忽略居民的客觀感受。為解決這些問題,有必要構建一個能很快地產生多量、客觀且完整 替選方案的分析工具,以減輕規劃人員負擔並提高規劃品質。因此本文構建一個能同時配置 運輸路網與土地使用的多目標 0-1 非線性規劃模式, 並利用基因演算法求解假想簡例的近 似非劣解集,以驗證模式的可操作性並進行一些測試。
     The generation of alternative sketch maps for urban planning has long been viewed as an administrative process. There were two basic issues: few alternatives and subjective results. The ideal concept is that the more sketch maps we generate, the more chances we can get the best layout. In other words, if sketch maps could be generated rapidly, we may enhance planning efficiency and reduce planner's burden. We build a multiobjective 0-1 nonlinear programming model for land use-network design, and utilize a genetic algorithm to solve such complex problem. The operational feasibility and some tests of this model is examined and discussed by a numerical example.
期刊論文
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33.Tzeng, G.-H.、Ghiou, Y.-C.、Sheu, S.-K.(1997)。A comparison of genetic and stepwise algorithms for optimal sites of mainline barrier-type toll stations。Journal of the Chinese Institute of Civil and Hydraulic Engineering,9(1),171-178。  new window
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會議論文
1.Lin, J.-J.、Feng, C.-M.(1997)。A New Method to Generate Sketch Map for Urban Planning。International Symposium on City Planning 1997。Nagoya。  new window
圖書
1.Brotchie, J. F.、Dickey, J. W.、Sharpe, R.(1980)。TOPAZ--General planning technique and its applications at the regional, urban, and facility planning levels。  new window
2.Miyamoto, S.(1990)。Fuzzy Sets in Information Retrieval and Cluster Analysis。Kluwer Academic。  new window
3.Pindyck, Robert S.、Rubinfeld, Daniel L.(1981)。Econometric Models and Economic Forecasts。New York, NY:McGraw-Hill Book Company。  new window
4.Goldberg, David Edward(1989)。Genetic Algorithms in Search, Optimization, and Machine Learning。Boston, MA:Addison-Wesley。  new window
 
 
 
 
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