Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/10174
標題: 具人類群聚傾向於建築規劃之最佳決策模型
Modeling of swarming tendency of human being to the optimal decision to the construction planning
作者: 郭厚村
Kuo, Hou-Tusn
關鍵字: 粒子群最佳化演算法;Particle Swarm Optimization;不動產估價;逃生避難行為;real estate appraisal;Escape Behavior
出版社: 土木工程學系所
引用: 中文部分 中文圖書 [1] 吳冬友、楊玉坤,統計學(第3版),台灣,五南圖書,2004 [2] 黃席樾、向長城、殷禮勝,現代智能算法理論及應用(第2版),中國,科學出版社,2009 [3] 王凌、劉波,微粒群優化與調度算法,中國,清華大學出版社,2008 [4] 紀震、廖惠連、吳青華,粒子群算法及應用,中國,科學出版社,2009 [5] 高尚、楊靜宇,群智能算法及其應用,中國,中國水利水電出版社,2007 [6] 段海濱,蟻羣算法原理及其應用,中國,科學出版社,2005 [7] 林英彥,不動產估價(第10版),台灣,文笙書局,2003 [8] 郭厚村,不動產估價概要-理論與實務(第3版),台灣,新文京出版,2010 [9] 張紘炬,抽樣方法與調查分析,台灣,華泰文化,2007 [10] 陳耀茂,可靠性方法與應用,台灣,雙葉書廊,1998 [11] Samuel Kotz、吳喜之、謝邦昌, 現代貝式統計學及其應用,台灣,台灣知識庫,2002 [12] 林政毅,FDS軟體避難模式之應用,台灣,吳鳳科技大學,2010 中文期刊 [13] 劉正達, 「人工智慧方法應用於聖火傳遞路徑最佳化」,台灣,大專體育學刊 第13卷 第4期,368-378頁,2011 中文學位論文 [14] 吳佩蓉,「應用粒子群演化法於燃料電池的最佳化參數估計」,台灣,逢甲大學資訊電機工程碩士論文,2011 英文部分 英文圖書 [15] James O.Berger, Statistical decision theory and Bayesian analysis (second edition), USA, Springer, 1985 [16] Andreas Schadschneider, Wolfram Klingsch, Hubert Kluepfel, Tobias Kretz, Christian Rogsch, Armin Seyfried,Evacuation dynamics: empirical results, modeling and applications, Encyclopedia of complexity and systems science (editor-in-chief: R.A. Meyers), Springer, 2009 英文期刊 [17] Angeline, P. J.,”Using selection to improve particle swarm optimization, IEEE evolutionary computation,” 84-89, 1998 [18] Chunming, Y. and Dan S.,” A new particle swarm optimization technique,”18th international conference on systems engineering, 164-169, 2005 [19] Clerc, M. and Kennedy, J.,”The particle swarm-explosion, stability, and convergence in a multidimensional complex space,” IEEE transactions on evolutionary computation, Volume 6, Issue 1, 58-73, 2002 [20] Xiaoshan Pan, Charles S. Han, Ken Dauber and Kincho H. Law,” A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations,” AI & Society, Volume 22, Number 2, 113-132, 2007 [21] S. R. Musse and D. Thalmann, “Hierarchical model for real time simulation of virtual human crowds,”IEEE Transactions on visualization and computer graphics, Volume 7,Issue 2, 152-164,2001. [22] C. W. Reynolds, “Flocks, herds, and schools: A distributed behavioral model,” Proc. of the ACM SIGGRAPH''87 Conf. on Computer graphics, Anaheim, California, Volume.21, Issue 4, pp.25-43, 1987. [23] D. Helbing, I. Farkas, and T. Vicsek, “Simulating dynamical features of escape panic,” Nature, Vol. 407, Issue 1, 487-490, 2000. [24] Zhao Yong-Wei, Jian Xian-Wen, Zheng Zhen-Chong, “Analysis on the occupant safe egress time for the underground rapid transit station,” Journal of disaster mitigation and rescue ,Central police university,2002。 日文部分 日文圖書 [25] 戶川喜久二,根據群眾流觀測避難設施之研究,日本,日本建築研究報告,1955 [26] 田中哮義,建築火災安全工學入門,日本,財團法人日本建築中心, 2001
摘要: 
在作有關建築規畫決策時,最佳化的成本開銷或安全考量應是決策之重要指標。其中,不動產取得成本大都佔整體建築成本比例甚鉅,又由於逃生避難之安全設計是建築設計最不可或缺的一環,因此,建築規劃中所需不動產價格之正確估計以及建築物之逃生避難模擬是規劃中極為重要的研究重點。
購買不動產的價格以及逃生避難的行為,其實都隱含有人類的群聚傾向,尤其在作價格決策或是緊急避難逃生決策時,往往除了自我的意志及經驗外,還會參酌他人之經驗值以作為自己的最後決策。
群智能演算法(swarm intelligence algorithm)是20世紀90年代初新發展的啟發式演算法,主要是模擬自然界生物群體行為會自然尋求優化的一種模擬演算法。其中,粒子群最佳化演算法(Particle Swarm Optimization)因具有群聚傾向之最佳化演算,恰好可以適切的模擬不動產價格估算以及緊急避難逃生路線之推估。因此,本文以粒子群最佳化演算法的方法應用於不動產估價模型以及逃生避難之模擬,由於方法簡易,結果良好,可做為建築規劃實際應用之良好決策工具。

To the architectural planning and design decisions, optimization for the cost of expenses and security considerations is important for decision making. In which, the acquisition of real estate is accounting for the large part of the overall construction costs. The escape refuge is an integral part in architectural design. Thus, the appraisal of real estate and the simulation of the building evacuation is a focus of research in construction planning.
The purchase of real estate as well as behavior of taking refuge implies human clustering tendency. It is not only based on self-will and experience, but also related to the experience of others before human making their final decision.
Swarm intelligence algorithm is heuristic approach that newly developed in the early 1990s. It simulates the natural biological collective behavior seeking for the fit solution. The merit of holding such clustering tendency of human being, make it as an appropriate way to appraise the value of real estate as well as the route of evacuation in panic. It shows that such approach is simple also with reliable results. It is valid used as a reliable tool for decision making in the practice of the architectural planning and design decisions.
URI: http://hdl.handle.net/11455/10174
其他識別: U0005-0908201221335500
Appears in Collections:土木工程學系所

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