Multiple-constraint Genetic Algorithm in Housing Design
Multiple-constraint Genetic Algorithm in Housing Design
复制标题
住宅设计中的多约束遗传算法
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
F. Scheurer
中科院分区：
文献类型：
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作者：
Taro Narahara;K. Terzidis;F. Scheurer
随着建筑项目在其形式表现和功能需求方面变得越来越复杂，人们正在寻求解决这些复杂性的方法。遗传算法提供了一个有效的解决方案，允许多个约束竞争的问题，因为系统朝着一个最佳的配置，满足这些约束。一个案例研究，涉及一个住房项目与多个环境，功能和经济的限制。
As architectural projects are becoming increasingly more complex in their formal manifestation as well as in their functional requirements, methods are sought to address these complexities. Genetic algorithms offer an effective solution to the problem allowing multiple constraints to compete as the system evolves towards an optimum configuration that fulfills those constraints. A case study is presented that involves a housing project with multiple environmental, functional, and economic constraints.