Evolving color paint

This paper presents an evolutionary computing intelligence for the paint industry. It integrates three principle components of soft-computing and problem-specific knowledge to perform a computerized color recipe prediction: that is, neural networks (NNs), a fuzzy system (FS), and a genetic algorithm (GA) with a knowledge base (KB) complement each other in obtaining precise prediction outputs through the simulation of the color paint manufacturing process. In light of both potential versatility and practical validity in this industrial application, we have realized that the proposed hybrid system can yield advantages over other approaches in that it can evolve their results