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The proposed mutation rule is shown to enhance the local search ability of the basic Differential Evolution (DE) and to get a better trade-off between convergence rate and robustness.
The new directed mutation rule is combined with the modified basic mutation strategy DE/rand/1/bin, where only one of the two mutation rules is applied with the probability of 0.5.
src identifies the source probe type where a mutation rule is applied.
The mutation rule is combined with the basic mutation strategy DE/rand/1/bin, where only one of the two mutation rules is applied with the probability of 0.5.
The mutation rule is combined with the basic mutation strategy DE/rand/1/bin, where the only one of the two mutation rules is applied with the probability of 0.5.
However, in the planning and execution stages, the last valid value on the model becomes frozen when the mutation rule is applied on the probe, and this can lead to completely different effects when considering the ensemble controller plus target system.
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The proposed mutation rule was shown to enhance the global and local search capabilities of the basic DE and to increase the convergence speed.
The new mutation strategy is embedded into the DE algorithm and combined with the basic mutation strategy DE/rand/1/bin, where only one of the two mutation rules is applied with the probability of 0.5.
Different robustness issues may arise in the controller, depending on the particular stage/probe in which mutation rules are applied, even if the set of mutation rules applied are the same.
It is important to emphasize that the proposed mutation rules are quite extensive and try to focus on testing limit conditions that are typically the source of robustness problems.
In addition, a new mutation strategy combining different mutant rules was proposed to increase the search ability of the proposed algorithm.
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