Nowadays, the optimization of parameters according to a set of activities performed in order to reduce time, effort and resources is gaining more attention. That is why the use of optimization algorithms has been made necessary in everyday life. This paper presents a comparison study between micro-algorithms: Genetic Algorithm (GA), Artificial Immune System (AIS), Estimation Distribution Algorithm (EDA), Particle Swarm Optimization(PSO), Bee Algorithm (BA) and Bee SwarmOptimization (BSO). To perform an activity in a confined space, this is affected by the light from the outside, which can be blocked by shutters and doors (of crystal), and lighting of lamps obtained within this space. It is then necessary to obtain the best combination using any optimization algorithm on the condition that it should be each of these objects to have a lighting comfort.
Comparison study of micro-algorithms for lighting comfort
T. J. Barrón Llamas, R. Baltazar, M. A. Casillas Araiza, D. Cuesta Frau, V. M. Zamudio Rodríguez; Comparison study of micro-algorithms for lighting comfort. AIP Conf. Proc. 10 March 2015; 1648 (1): 820007. https://doi.org/10.1063/1.4913026
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