An Evaluation of a Metaheuristic Artificial Immune System for Household Energy Optimization
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Author(s)
Navarro-Caceres, Maria
Villarrubia, Gabriel
Venyagamoorthy, G. Kumar
Herath, Pramod
Prieto Castrillo, Francisco
Date Issued
July 2018
Journal
Complexity
Publisher
Hindawi Publishing Corporation
Citation
Navarro-Caceres, Maria, et al. “An Evaluation of a Metaheuristic Artificial Immune System for Household Energy Optimization.” Complexity, vol. 2018, July 2018, pp. 1–11. © 2018 Maria Navarro-Caceres et al.
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Final published version
Abstract
Devices in a smart home should be connected in an optimal way; this helps save energy and money. Among numerous optimization models that can be found in the literature, we would like to highlight artificial immune systems, which use special bioinspired algorithms to solve optimization problems effectively. The aim of this work is to present the application of an artificial immune system in the context of different energy optimization problems. Likewise, a case study is performed in which an artificial immune system is incorporated in order to solve an energy management problem in a domestic environment. A thorough analysis of the different strategies is carried out to demonstrate the ability of an artificial immune system to find a successful optima which satisfies the problem constraints.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1155/2018/9597158
