Hybrid Metaheuristic Optimization for Chessboard Rendering Using Evolutionary and Fuzzy Techniques

This research Paper design a MATLAB framework for designing and implementing 2D chessboards incorporating matrix operations and intelligent pattern-generation techniques is presented in the research.The purpose of this study is to develop an algorithm to construct a visually accurate chessboard with alternate black and white squares based on matrix manipulation, rule-based automation, and basic artificial intelligence concepts, such as logical inference and pattern recognition. To systematically generate the grid structure, assign pixel-level intensity values, and ensure precision in the spatial arrangement of squares, MATLAB is utilized. The proposed method demonstrates how AI-oriented logic can enhance grid-based design automation as well as the efficiency of MATLAB for visual pattern synthesis. These findings establish a foundation for further applications in digital image processing, computer vision, and game design, where intelligent pattern construction and matrix-driven rendering play a critical role.