Today, in the field of architecture, bio-inspired algorithms can be used to design and seek solutions to design problems. Two of the most popular algorithms are the genetic algorithm (GA) and swarm intelligence algorithm. However, no study has examined the simultaneous use of these two bio-inspired algorithms in the field of architecture. Therefore, this study aims to test whether these two bio-inspired algorithms can work together. To this end, GA is used in this study to optimize the rule-based swarm algorithm for the conceptual design process. In this optimization test, the objective was to increase the surface area, and the constraints are parcel boundary and building height. Further, the forms associated with swarm agents were determined as variables. Following the case studies, the study concludes that the two bio-inspired algorithms can effectively work together.

中文翻译：

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概念设计过程中基于规则的群体智能仿真的优化测试

今天，在建筑领域，仿生算法可用于设计和寻求设计问题的解决方案。两种最流行的算法是遗传算法（GA）和群体智能算法。然而，没有研究检查这两种仿生算法在建筑领域的同时使用。因此，本研究旨在测试这两种仿生算法是否可以协同工作。为此，本研究使用遗传算法优化概念设计过程的基于规则的群算法。在本次优化测试中，目标是增加表面积，约束条件是地块边界和建筑物高度。此外，与群体代理相关的形式被确定为变量。在案例研究之后，