Innovation in Indoor Environmental Art Decoration Design and Visual Comfort Evaluation

Under the background of global sustainable development, this study focuses on the integrated application of green design concept in indoor environment art decoration and systematically discusses the core application principles such as economic rationality, health and environmental protection, and overall aesthetics. In order to solve the limitations of traditional design methods, an improved cultural algorithm based on pattern learning is proposed, which improves the innovation of environmental art design and enhances the convergence efficiency of the algorithm. In addition, a C- Support Vector Machine (C-SVM) model is constructed to evaluate the visual comfort of indoor lighting with color temperature and brightness as key variables. The model achieves high prediction accuracy and strong generalization ability. By integrating the concept of green design, interdisciplinary technical tools, and intelligent evaluation methods, this study provides a scientific basis for building an energy-saving, environmentally-friendly, and people-oriented comfortable indoor space.