Optimization of Civil Turbofan with Evolutionary Algorithms

A high-bypass ratio turbofan is considered for a civil transport; an optimization procedure based on a hybrid evolutionary algorithm, which employs a genetic algorithm, differential evolution and particle swarm optimization in parallel, is used to minimize the aircraft take-off gross weight, given payload, take-off and landing distances, time to climb to cruise altitude, and range. Different performance indexes are also considered for the sake of comparison. The procedure provides the optimal values of wing loading and engine design variables. Off-design analysis is embedded into the optimization code to assess the fulfillment of performance constraints.