Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations

• Published in: Expert systems with applications Vol. 96; pp. 479 - 491
• Main Authors: Liao, Chih-Lun, Lee, Shie-Jue, Chiou, Yu-Shu, Lee, Ching-Ran, Lee, Chie-Hong
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 15.04.2018; Elsevier BV
• Subjects: Computer simulation; CUDA; Electricity; Energy conservation; Energy consumption; GPU; Hadoop; Illuminance; Industrial plants; Lighting; Luminance; MapReduce; Parallel algorithm; Parallel processing; Particle swarm optimization; Power consumption; Real time; Working conditions; Workshops; CUDA; Parallel algorithm; Energy conservation; Hadoop; Particle swarm optimization; GPU; MapReduce

•Luminance control is formalized as a constrained search problem.•Both power consumption minimization and sufficient illuminance are considered.•A distributive PSO-based algorithm is developed to do an effective search.•Parallel implementations in GPU and Hadoop MapReduce are developed.•The develope...