Genetic Algorithm optimizer for blend planning

Process plant operations planning optimization is a difficult real life problem because it is non-linear, and mixes continuous and discrete variables. These mixed variable problems canpsilat be handled by conventional mathematical optimization techniques without a great deal of effort and operations research knowledge. Genetic algorithms (GA) is a popular artificial intelligence based optimization techniques. It is easy to use, handles mixed integers, strongly non-linear problems, and quickly finds the global optimum of a problem. So the GA optimizer can solve blend planning problem with non-linear.