For my PhD. thesis I developed a new algorithm called GP-DEMO. The algorithm proved to be very efficient in solving computationally complex multi-objective optimization problems. It is based on evolutionary algorithms and uses Gaussian process modelling within the optimization.
The algorithm is very adaptable and can be used to solve various optimization problems.
The paper published about the algorithm can be found here.
The source code of the GP-DEMO algorithm is freely available to download here .