A Method for Indoor Space Lighting Layout Design Based on Variable Granularity Co-evolution
Year: 2024
Type: conference-paper
Abstract: This paper addresses the essential but tricky project of indoor area lighting graph, underscoring its importance in reaching energy efficiency, aesthetic attraction, and useful illumination. traditional lights design methods regularly fall short in adaptability and optimization, main to suboptimal illumination and electricity inefficiency. To triumph over these limitations, we suggest a unique approach employing a variable granularity co-evolutionary set of rules for indoor area lighting plan diagram. Our method initiates with a mathematical modeling of the indoor space, setting more than one optimization targets like lighting fixtures efficiency, cost-effectiveness, and aesthetic issues. The core of our method lies within the integration of a variable granularity method with a co-evolutionary set of rules. This amalgamation enables dynamic granularity modifications based on evolutionary progress, enhancing the search efficacy throughout multiple goals. Next steps include actual-time environmental tracking and comments integration, permitting adaptive lighting fixtures diagram modifications. Experimental results reveal the superiority of our approach over conventional techniques, showcasing huge upgrades in lighting fixtures best and energy intake. The proposed technique's adaptability and efficiency mark a widespread advancement in wise lighting fixtures diagram.
Source: Procedia Computer Science
Authors: Yan Liu, Xinchao Zhang
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403411981