EIS Algorithms

EIS (Evolutionary Image Synthesis) algorithms are techniques that generate or optimize images by mimicking natural selection. They start with random images and iteratively improve them based on a set of desired features or criteria, akin to natural evolution. At each step, the algorithms select the best images, modify them through processes similar to mutation and crossover, and repeat this process to evolve images that better match the target characteristics. This approach is useful for tasks like creating art, designing objects, or enhancing images, leveraging the power of evolution-inspired methods to find innovative solutions efficiently.