A genetic algorithm for the atomistic design and global optimisation of substitutionally disordered materials

Physics – Condensed Matter – Materials Science

Scientific paper

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9 pages, 4 figures, presented on E-MRS Fall Meeting 2007

Scientific paper

10.1016/j.commatsci.2008.03.046

We present a genetic algorithm for the atomistic design and global optimisation of substitutionally disordered bulk materials and surfaces. Premature convergence which hamper conventional genetic algorithms due to problems with synchronisation is avoided using a symmetry adapted crossover. The algorithm outperforms previously reported Monte Carlo and genetic algorithm simulations for finding low energy minima of two simple alloy models without the need for any redesign.

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