Art and Design Teaching System using Adaptive Genetic Algorithm based on B/S Architecture

Artand design teaching system with Brower Server (B/S) architecture as the core and related application integrated education of art and design. Traditional online or virtual art and design teaching system has problems such as poor score enhancement and minimum system throughput. The proposed Adaptive Genetic Algorithm (AGA) designs an interactive virtual and online or face to face art teaching system based on $\mathrm{B} / \mathrm{S}$ mode. The teaching application developing since the beginning of the GA reduces the need for extensive parameter tuning which is often required in traditional GA. The application of this system significantly enhances the variety and quantity of education resources, streamlines the instruction management process, and offers a smoother channel of interaction between educators and students. The system design and real world application successfully achieved the objective of internet technologies for art and design teaching system. The outcomes indicate that student interest in learning and satisfaction with teaching and practical knowledge improve. The experimental results show that the proposed method attains pre-application scores of $\mathbf{9 0 \%}$ and a design system score of $85 \%$, respectively.