Farah Nur Arina, Baharudin and Nor Azlina, Ab. Aziz and Mohamad Razwan, Abdul Malek and Zuwairie, Ibrahim (2021) Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm. In: Lecture Notes in Mechanical Engineering; 8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020 , 11-13 December 2020 , Virtual, Online. pp. 351-363.. ISSN 2195-4356 ISBN 978-981-16-4803-8
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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) |
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| 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 |
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