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Abstract
Ambient intelligence (AmI) aims to bring intelligence to human daily lives and making the environment more sensitive and comfortable by applying computational intelligence, sensors and sensors networks. The occupant’s comfort can be measured using the user comfort index. A user comfort index in an indoor environment can be affected by the temperature of the room, the illumination of the lighting and the indoor air quality. In this work, these parameters are optimized using dynamic inertia weight artificial bees colony (DIW-ABC) optimization algorithm. The inertia weight in DIW-ABC controls the exploration and exploitation of the colony. The findings show that the DIW-ABC achieved better performance than the original ABC. The optimized parameter can be feed to a controller to provide a room with ambient intelligence.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Ambient intelligence; Artificial bees colony; Inertia weight; User comfort index |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Faculty/Division: | College of Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 15 Nov 2022 03:50 |
| Last Modified: | 15 Nov 2022 03:50 |
| URI: | http://umpir.ump.edu.my/id/eprint/34333 |
| Download Statistic: | View Download Statistics |
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