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- W3042522015 abstract "Abstract 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." @default.
- W3042522015 created "2020-07-23" @default.
- W3042522015 creator A5016940000 @default.
- W3042522015 date "2020-07-15" @default.
- W3042522015 modified "2023-09-25" @default.
- W3042522015 title "Optimization test of a rule-based swarm intelligence simulation for the conceptual design process" @default.
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- W3042522015 doi "https://doi.org/10.1017/s0890060420000323" @default.
- W3042522015 hasPublicationYear "2020" @default.
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