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Development of the Composite Optimal Design Method on Outdoor Environment Using Multi-object Genetic Algorithm (MOGA)

利用多目标遗传算法（MOGA）开发室外环境复合优化设计方法

基本信息

批准号：
17360282
负责人：
OOKA Ryozo
金额：
$ 9.28万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

项目摘要

In this research, a multi-Objective optimal design method for comfort urban outdoor thermal environment is developed with Multi-Objective Genetic Algorithms (MOGA). The multi-Objective optimal design method can be used as a design tool for various factors and design objective related to no only the environmental engineering field, but also building design, structure and economic etc.A lot of the results are obtained in the research that the title is "Development of the Composite Optimal Design Method on Outdoor Environment Using Multi-object Genetic Algorithm (MOGA)" from 2005. The Genetic Algorithm (GA) is mainly taken up as an optimization method, and the optimal designs that are not only single objective optimization problem but also multi-objective optimization problem are examined using GA and coupled simulation of convection, radiation and conduction. The following items are performed concretely.(1)Development of outdoor environment optimal design system by Multi-objective Geneti … More c AlgorithmsThe numerical analysis method of various fields, such as outdoor thermal environment, landscape, safety and the economy etc, are developed, and the multi-Objective optimal design method on outdoor environment is developed using MOGA.(2)Development of the multi-objective optimization evaluation methodsThe objective functions of multi-objective optimization and quantification evaluation methods of the objective functions are developed, and the validity and effectiveness of the multi-objective optimization evaluation methods are examined.(3)The method of reliability design and robust design is integrated into the multi-Objective optimal design methodThe outdoor environment is composed by various environmental elements, such as weather and open space, and has changed greatly by the uncertainty of these environment elements. Therefore, the uncertainty of the design parameter of the outdoor environment should be considered for an optimal design method on outdoor environment. In this research, the method of reliability design and robust design what the uncertainty of the design parameter is consider are integrated into the multi-Objective optimal design method.(4)Optimal design on outdoor environment and advice for improvement of the outdoor environmentIn above-mentioned (1)〜(3), the optimal design is presented based on the obtained Pareto optimum solution set. In addition, the advice on city planning and building design for improvement of outdoor environment are performed. Less

本文采用多目标遗传算法（莫加）对城市室外热环境舒适性进行多目标优化设计。多目标优化设计方法不仅可以作为环境工程领域的设计工具，还可以作为建筑设计、结构、经济等领域的设计工具。2005年开始的“基于多目标遗传算法的室外环境综合优化设计方法的研究”取得了大量成果。主要将遗传算法作为一种优化方法，并将其应用于对流、辐射和导热的耦合模拟，研究了单目标优化问题和多目标优化问题的优化设计。具体执行以下项目。（1）基于多目标遗传算法的室外环境优化设计系统的开发 ...更多信息提出了室外热环境、景观、安全性和经济性等多方面的数值分析方法，并利用莫加建立了室外热环境多目标优化设计方法。（2）多目标优化评价方法的发展建立了多目标优化的目标函数和目标函数的量化评价方法，并对多目标优化评价方法的正确性和有效性进行了检验。（3）将可靠性设计和稳健性设计方法结合到多目标优化设计方法中室外环境是由各种环境要素（如天气、开放空间等）组成的，这些环境要素的不确定性使室外环境发生了很大的变化。因此，室外环境优化设计方法应考虑室外环境设计参数的不确定性。本研究将可靠性设计方法和考虑设计参数不确定性的稳健设计方法结合起来，提出了多目标优化设计方法。（4）室外环境的优化设计和改善室外环境的建议在上述（1）和（3）中，基于所获得的帕累托最优解集来提出优化设计。此外，还对改善室外环境的城市规划和建筑设计提出了建议。少