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This study explores the use of variation and selection in evolutionary processes to produce intricate structures, textures, and motions in computer graphics and animation. The process can be directed in the directions that users want by giving them the ability to interactively choose visually appealing procedurally generated solutions. A number of examples are given, including the cultivation of three-dimensional plant structures using set genetic parameters and the use of symbolic Lisp expression mutations to produce pictures, solid textures, and animations. The goal of this method is to get around the drawbacks of fixed-length genotypes with set rules by employing symbolic phrases as genotypes. According to the article, artificial evolution is an effective technique that requires little technical expertise and user interaction to achieve flexible complexity.1. Whether used online or off, computer graphics are integral to everyday activities and information technology. Graphics and media content creation tools were traditionally developed by computer scientists and programmers. These days, artists create complex digital artifacts with these instruments. Computer graphics are being utilized more and more in business and education for data visualization, interactive learning, virtual and augmented reality, and presentations due to improvements in hardware capabilities, graphic tooling, and pricing. This essay provides educators with fresh insights by introducing computer graphics, their history, and possible educational uses 2.
Karthik et al. (Fri,) studied this question.