An adaptive elitist differential evolution for optimization of truss structures with discrete design variables
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An aeDE is proposed for optimization of truss structures with discrete design variables.

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The aeDE algorithm is a newly improved adaptive version of DE with three modifications.

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Three improvements relate to the mutation phase, selection phase and rounding technique.

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The numerical results for six benchmark problems illustrate the effectiveness of aeDE.

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