Comparative Study of Bio-Inspired Algorithms Applied to Illumination Optimization in an Ambient Intelligent Environment

被引：0
|
作者：
Gpe. Romero-Rodriguez, Wendoly J. [1 ]
Baltazar, Rosario [1 ]
Zamudio, Victor [1 ]
Casillas, Miguel [1 ]
Alaniz, Arnulfo [2 ]
机构：
[1] Inst Tecnol Leon, Ave Tecnol S-N, Guanajuato, Mexico
[2] Inst Tecnol Tijuana, Calzada Tecnol S-N, Tijuana, Baja California, Mexico
来源：
AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS 2019 | 2020年 / 148卷
关键词：
IoT (Internet of things); Ambient intelligence; Energy management; Bio-inspired optimization; Control illumination;
D O I：
10.1007/978-981-13-8679-4_18
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the primary concerns of humanity today is developing strategies for saving energy and promoting environmental sustainability. This paper suggests the development of an intelligent Internet of Things based system with the use of meta-heuristics that will be able to find optimal energy saving configurations. This system takes into account the activity of the users, size of area, state of lights, and blinds. A comparative study of four optimization techniques (GA, PSO, DBDE, and BSO) with the use of the Friedman test is shown.
引用
收藏
页码：215 / 226
页数：12
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