ECF

ECF is a C++ framework intended for application of any type of evolutionary computation. Current features include:

algorithms: steady state tournament, generational roulette-wheel, elimination, particle swarm optimization (PSO), differential evolution (DE), genetic annealing, artificial bee colony (ABC), clonal selection (CLONALG), immune optimization (optIA), evolution strategy, random search
genetic algorithm genotypes (bitstring, binary encoded real values, floating point vectors, permutation vectors), genetic programming genotype (tree), analytic programming
individuals may contain any genotypes in any number
many examples: GP symbolic regression, GP artificial ant, function optimization, TSP, onemax, function optimization from CEC Real-Parameter Numerical Optimization
parallel execution in many models (global paralel EA, distributed EA, hybrid parallel EA...) using MPI
configurable environment: changing algorithm, genotypes and parameters without recompilation
checkpointing and population restoring, various termination criteria, repeated runs, crx and mutation operators selection and usage rate, migration