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Study on optimum arrangement of trees for design of pleasant outdoor environment using multi-objective genetic algorithm and coupled simulation of convection, radiation and conduction
AbstractOutdoor thermal environments represented by the urban heat-island phenomenon that accompanies urbanization have become markedly worse in recent years during summer in Japan. Many researches have been conducted into the effect of plants on the outdoor thermal environment during summer. However, the optimum design system for such plants has not been established yet. In this paper, (1) a multi-objective optimum design method for a comfortable outdoor thermal urban environment is developed using a multi-objective genetic algorithm (MOGA); and (2) in order to examine the validity of the proposed optimum design method, two cases are analyzed: a single-objective optimization problem from the viewpoint of human's comfort and a multi-objective optimization problem involving various factors, such as the landscape, outdoor thermal environment, and economy. The results of this method show the trade-off relationship between two or more objective functions, and the Pareto-optimal solution set is achieved.
Study on optimum arrangement of trees for design of pleasant outdoor environment using multi-objective genetic algorithm and coupled simulation of convection, radiation and conduction
AbstractOutdoor thermal environments represented by the urban heat-island phenomenon that accompanies urbanization have become markedly worse in recent years during summer in Japan. Many researches have been conducted into the effect of plants on the outdoor thermal environment during summer. However, the optimum design system for such plants has not been established yet. In this paper, (1) a multi-objective optimum design method for a comfortable outdoor thermal urban environment is developed using a multi-objective genetic algorithm (MOGA); and (2) in order to examine the validity of the proposed optimum design method, two cases are analyzed: a single-objective optimization problem from the viewpoint of human's comfort and a multi-objective optimization problem involving various factors, such as the landscape, outdoor thermal environment, and economy. The results of this method show the trade-off relationship between two or more objective functions, and the Pareto-optimal solution set is achieved.
Study on optimum arrangement of trees for design of pleasant outdoor environment using multi-objective genetic algorithm and coupled simulation of convection, radiation and conduction
Ooka, Ryozo (Autor:in) / Chen, Hong (Autor:in) / Kato, Shinsuke (Autor:in)
Journal of Wind Engineering and Industrial Aerodynamics ; 96 ; 1733-1748
01.01.2008
16 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
British Library Online Contents | 2008
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