article · 2026

Multi-objective Optimization Framework for Controllable Circadian Rhythm LED Light Sources: A Comprehensive Spectral Design and Performance Evaluation System

Cited by 0Abstract and details only

Abstract

Traditional LED lighting systems lack comprehensive circadian rhythm control capabilities, resulting in insufficient consideration of biological impacts and sub-optimal user wellbeing. The complexity of modern lighting requirements, coupled with the exponential growth of health-conscious design principles, necessitates advanced analytical approaches capable of processing multi-dimensional spectral data while providing actionable intelligence for lighting system optimization. This paper presents an intelligent LED spectral design system that integrates multi-objective optimization algorithms, distributed signal processing, and comprehensive evaluation techniques for circadian rhythm applications. The system combines Sequential Least Squares Programming (SLSQP) with Weighted Entropy Method (WEM) to create a robust A4 (Actor-Action-Asset-Attribute) scoring framework, incorporating Grid Search Random Forest (GSRF) algorithms for predictive modeling and spectral optimization. A comprehensive evaluation methodology enables real-time spectral analysis through statistical modeling and pattern detection using advanced optimization algorithms. The proposed framework addresses critical challenges in lighting design including spectral power distribution optimization, color rendering enhancement, and circadian effectiveness maximization. Experimental validation demonstrates superior performance with coefficient of determination R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>=0.996, providing effective lighting solutions across diverse application contexts. The integrated approach achieves significant energy efficiency improvements compared to traditional lighting methods while providing automated circadian rhythm optimization for global lighting applications.

Cite this paper

APA 7

Zhang, R., & Zhao, L. (2026). Multi-objective Optimization Framework for Controllable Circadian Rhythm LED Light Sources: A Comprehensive Spectral Design and Performance Evaluation System. https://doi.org/10.1109/icpege67691.2026.11451372

MLA 9

Zhang, Rongkai, and Lili Zhao. “Multi-objective Optimization Framework for Controllable Circadian Rhythm LED Light Sources: A Comprehensive Spectral Design and Performance Evaluation System.” 2026, pp. 782–86, https://doi.org/10.1109/icpege67691.2026.11451372.

Chicago

Zhang, Rongkai, and Lili Zhao. 2026. “Multi-objective Optimization Framework for Controllable Circadian Rhythm LED Light Sources: A Comprehensive Spectral Design and Performance Evaluation System.” https://doi.org/10.1109/icpege67691.2026.11451372.

Harvard

Zhang, R. and Zhao, L. (2026) ‘Multi-objective Optimization Framework for Controllable Circadian Rhythm LED Light Sources: A Comprehensive Spectral Design and Performance Evaluation System’. Available at: https://doi.org/10.1109/icpege67691.2026.11451372.

BibTeX

@article{zhang2026multi,
  title = {{Multi-objective Optimization Framework for Controllable Circadian Rhythm LED Light Sources: A Comprehensive Spectral Design and Performance Evaluation System}},
  author = {Zhang, Rongkai and Zhao, Lili},
  pages = {782--786},
  year = {2026},
  doi = {10.1109/icpege67691.2026.11451372}
}

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