🧪 Emerging Tech Bio Inspired Computing Simulation

This simulation demonstrates how biological systems inspire innovative computing solutions by rendering the Clonal Selection Algorithm (CLONALG) — an artificial immune system technique modelled on affinity maturation — as a live 3D optimizer. A population of antibody agents sits on a multimodal fitness landscape; each generation the fittest antibodies are cloned in proportion to their affinity, the clones are hypermutated at a rate inversely proportional to that affinity, and the weakest antibodies are replaced outright to preserve diversity. Switch between three classic test landscapes, tune population size, clone count, mutation scale and replacement rate, and watch the swarm of instanced spheres climb toward the peaks while live readouts track generation count, best and mean affinity, and the best solution found.