Abstract
We present a genetic algorithm for the atomistic design and globaloptimisation of substitutionally disordered bulk materials and surfaces.Premature convergence which hamper conventional genetic algorithms due toproblems with synchronisation is avoided using a symmetry adapted crossover.The algorithm outperforms previously reported Monte Carlo and genetic algorithmsimulations for finding low energy minima of two simple alloy models withoutthe need for any redesign.