Optimization of Indoor Luminaire Layout for General Lighting Scheme Using Improved Particle Swarm Optimization

Ji-Qing Qu, Qi-Lin Xu and Ke-Xue Sun
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Ji-Qing Qu: College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210000, China
Qi-Lin Xu: College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210000, China
Ke-Xue Sun: College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210000, China

Energies, 2022, vol. 15, issue 4, 1-18

Abstract: An improved mathematical model and an improved particle swarm optimization (IPSO) are proposed for the complex design parameters and conflicting design goals of the indoor luminaire layout (ILL) problem. The ILL problem is formulated as a nonlinear constrained mixed-variable optimization problem that has four decision variables. For a general lighting scheme (GLS), the number and location of luminaires can be uniquely determined by optimizing four decision variables, which avoid using program loops to determine the number of luminaires. We improve the particle swarm optimization (PSO) in three aspects: (1) up-down probabilistic rounding (UDPR) method proposed to solve mixed integer, (2) improving the velocity of the best global particle, and (3) using nonlinear inertia weights with random items. The IPSO has better optimization results in an office study compared with the PSO and genetic algorithm (GA). The results are validated by DIALux simulation software, and a maximum deviation of 2.2% is found. The validated results show that the method using four decision variables increased the speed by 10.6% and the success rate by 23.33%. Furthermore, Indoor Luminaire Layout System APP is designed to provide guidelines visually for lighting designers and related researchers.

Keywords: luminaire layout; improved particle swarm algorithm; particle swarm optimization; genetic algorithm; optimization; general lighting scheme; APP (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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