Citation

Abdul Malek, Mohamad Razwan and Ab Aziz, Nor Azlina and Baharudin, Farah Nur Arina and Ibrahim, Zuwairie (2021) Optimization of User Comfort Index for Ambient Intelligence Using Enhanced Bat Algorithm. Lecture Notes in Mechanical Engineering. pp. 364-376. ISSN 2195-4356

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Abstract

Ambient Intelligence (AmI) is an attribute to the environment that can be controlled and monitored by the smart electronic systems that are responsive to the users’ behavior and cater for their needs. AmI is spreading rapidly to many discipline areas and beneficial to the society. Specifically, AmI is achieved through five technology areas which are sensors, networks, artificial intelligence, human computer interfaces and pervasive ubiquitous computing. One of the objective of AmI is to maximize the user comfort index. In this paper three parameters namely; temperature, illumination and indoor air quality are used to determine the user comfort index. Metaheuristics methods such as bat algorithm (BA) are suitable for the maximization of user comfort index. Three variants of enhanced bat algorithm (EBA) are used here to optimized these parameters while balancing occupant’s preference and environmental aspect. The EBA adopted random, linear and nonlinear inertia weight. The findings show that the performance of the EBA is better than the original BA in optimizing the user comfort index. Specifically, the EBA with nonlinear inertia weight provides the best average user comfort index for the set of experimental data.

Item Type:	Article
Additional Information:	RiTA 2020-Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications
Uncontrolled Keywords:	Ambient intelligence, Bat algorithm
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Oct 2021 02:58
Last Modified:	21 Dec 2022 05:59
URII:	http://shdl.mmu.edu.my/id/eprint/9633

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