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Tabu search (TS) based local search is embedded in the proposed algorithm to enhance the convergence capability.
It is worthy to say that the proposed strategies reduce the number of searches within the solution space and enhance the convergence capability and the performance of the GA.
Results obtained for the design examples revealed that although the TLBO developed slightly heavier designs than the other meta-heuristic methods in a few cases, it obtained results as good as or better than the other meta-heuristic optimization methods in terms of both the optimum solutions and the convergence capability in most cases.
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Besides, the CSA is compared to the genetic algorithm (GA), and particle swarm optimization (PSO) techniques and the results show the fast convergence capability and the effectiveness of the proposed algorithm in solving the problem of optimal design of third-order resonance-free passive filters in distribution networks.
Simulation results indicate that the PSO-IAC algorithm provides the fastest convergence capability.
This nonlinear control strategy shows comparatively better closed-loop performance than the gain-scheduled proportional integral (GSPI) controller due to the exponential error convergence capability of the estimation scheme and the high-quality control of the GMC law.
The proposed adaptive control scheme is shown to be quite promising due to the exponential error convergence capability of the ASE estimator in addition to the high-quality performance of the GMC controller.
Taking advantage of the collective computational ability and energy convergence capability of the Hopfield network, the noises will be effectively removed.
Taking advantage of the collective computational ability and energy convergence capability of the Hopfield neural network, the experiment received a good result.
Simulation results confirm the reliability and convergence capabilities of the proposed method and encourage further work for the adoption of the algorithm in real time applications.
ADCQGA was first tested on a widely used benchmark function to illustrate the relationship between initial parameter values and the convergence rate/search capability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com