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Laplace Crossover particle swarm optimization (LXPSO) had been applied successfully for optimal setting of over current relays [50 52].
The potential of the proposed approach for optimal setting of the widely used conventional lead lag PSSs has been investigated.
Tuning of damping controller parameters for optimal setting, such as gain and signal wash out block parameters, has major effects on its performance improvement.
Modified differential evolution (DE) algorithm based techniques are also reported in [53 55] for optimal setting of DOCRs.
Islanding operation of low voltage distribution system having inverter connected (low short circuit capacity) renewable energy sources, imposes addition problems for optimal setting of over current relays [107, 108].
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Tuning for optimal set-point control as well mdisturbance rejection is provided.
Given the non-linear nature of the objective function needed for optimal set-partitioning, we design an algorithm that we call Heuristic Incremental Integer Programming (HIIP).
To date the efficiency of searching for optimal set of SNPs has not been efficient.
One primary cause for the lack of success in searching for optimal sets of SNPs is that the high dimensionality and highly correlated features of SNPs hinder the power of identifying small to moderate genetic effects connectable to complex diseases.
We search for the optimal setting of Tilt Reset for each of the two tilt sensors, which we shall call x and y.
The design problem is formulated as an optimization problem where SA is applied to search for the optimal setting of the proposed SAPSS and SACSC parameters.
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for possible setting
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for appropriate setting
for optimal settlement
for optimal frame
for best setting
for optimal adjustments
for optimal fits
for optimal sets
for optimal enjoyment
for optimal learning
for optimal Efficiency
for optimal separation
for optimal system
for specific setting
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