ABSTRACT
OBJECTIVE: A genetic algorithm takes care of different variables for searching optimal conditions. Hybrid experimental design shows better exploitation of biological systems.
Studies on evolutionary systems by computer scientists with the concept of using evolution are one of the techniques of optimization to solve engineering problems. The idea was to evolve a population of candidate solutions to a given problem, using operators inspired by natural genetic variation and selection.
