The JavaEvA Genetic Optimization Module

The Genetic Optimization module allows the application of a variety of nature-inspired heuristics within one framework. You can combine several datatypes as representations with specific evolutionary operators and widely independently choose an optimization strategy. Some strategies, however, only work with certain datatypes. Most remarkably, DE and PSO require a real-valued representations for the moment, whereas GA, for example, is typically run with a binary datatype but also works on real valued individuals by just accessing the analoguous evolutionary operators.