Application of genetic algorithm to a gas network for compressor speed optimization

This contains codes for determining the optimum speed for six compressors for a gas network, the flow rates were obtained from the first simulation which is the flow simulation, the flow will remain constant during the simulation.

The hypothesis is that compressor speed determines fuel consumption. The speed is encoded as genes and the fuel consumption is the objective function
A genetic algorithm was used to search for the optimum speed for the compressors, that fulfill the objective function.
From the simulation, the data showed that a genetic algorithm can be used to determine the sets of speed that give the minimum fuel consumption and is subjected to the constraint which is the pressure range at the demand point.