Summary
This study presents a multi-objective optimization model using the MOEA/D-DE algorithm to balance visual comfort, alertness, and mood by dynamically adjusting illuminance and CCT in educational spaces. Four lighting modes (focused learning, comfortable learning, soothing learning, and resting state) are proposed, providing a practical framework for intelligent lighting control systems that support healthy circadian rhythms.
Key Findings
- Alertness during class time reached 3.01 compared to 2.34 during break time under the optimized lighting strategy, demonstrating effective light-driven alertness modulation.
- Four dual-parameter (illuminance + CCT) lighting modes were defined for educational spaces: focused learning, comfortable learning, soothing learning, and resting state.
- The MOEA/D-DE algorithm successfully solved the multi-objective optimization problem balancing visual comfort, alertness, valence, and arousal simultaneously.
- Illuminance and CCT were identified as strongly coupled parameters requiring joint optimization rather than independent control for healthy rhythm support.
Categories
Student Learning: The model is applied specifically to educational spaces with four lighting modes designed to optimize learning states.
Workplace Performance: The multi-objective model optimizes alertness, visual comfort, and mood through illuminance and CCT control, applicable broadly to performance environments.
The Science of Light: The paper develops a mathematical optimization model linking illuminance and CCT to circadian rhythm, alertness, and mood responses.
Author(s)
H Cai, Q Lin, H Liu, X Li, H Xiao
Publication Year
2022
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Workplace Performance
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The Science of Light
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