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The main core of the image processing unit has been implemented by the differential algorithm procedure.
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And its characteristic parameter is identified by the differential coefficient algorithm.
The rapid modeling formulation with a non-linear objective function subject to non-linear constraints is solved by the differential evolution algorithm.
Fault identification and immediate isolation is implemented by the differential-activated algorithm based on synchronous sampling proposed in section 2.2.
Second, the design problem is solved by the differential evolution metaheuristic algorithm.
In this work an optimized geometry for a filtering hydrocyclone with maximum total efficiency was obtained by using the Differential Evolution (DE) algorithm.
By applying the differential evolution (DE) algorithm and IGCMEA to perform an optimization test on the 100-dimensional Schwefel Function, we showed that IGCMEA can achieve an efficient and satisfactory result.
The optimization is done using the Differential Evolution algorithm.
In order to find the optimal profiles, the planetary swing-by technique and Differential Evolution algorithm are used.
The differential ant-stigmergy algorithm (DASA) was initially proposed in 2006 by Korošec [ 17].
The proposed algorithm uses gradient matrix to determine whether the trail vector generated by differential evolution algorithm is worth using the fitness function to evaluate it or not.
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