OPTJAVA

Implementations of various evolutionary computation algorithms in Java

Projects:

• ACO : TSP problem solved with the ant colony optimization algorithm
• PSO : Particle swarm optimization of neural network for the classification of samples in the iris dataset
• DE : Time series prediction by using an Elman neural network or a TDNN trained with an implementation of the differential evolution algorithm
• NSGA : Implementation of the NSGA multiple objective optimization algorithm
• NSGA-II : Implementation of the NSGA-II multiple objective optimization algorithm
• ParallelGA : Parallel implementation of the generational genetic algorithm with two levels of concurrency
• GP : Ant trail problem solved with genetic programming with Swing interactive visualisator for the found solution