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In this work, it has been demonstrated how artificial bee colony algorithm can be successfully utilized to solve an optimal DG placement problem, considering both technical and economic objectives. The technical objectives try to minimize line loss, the effect of voltage sag problem, and the variation in node voltage deviation in the distribution network. The economical objectives try to minimize...
Solving harmonic estimation problems in power quality signals has attained significant importance in recent times. Stochastic optimization algorithms have been successfully employed to determine magnitude of this information in an unknown signal contaminated with noise or containing additive dc decaying components. The present paper shows how a recently proposed stochastic optimization algorithm,...
In this paper a novel approach for channel equalization is presented, where a framework for Volterra system is used to model both the channel and the equalizer. We propose development of first-order and second-order Volterra equalizers using minimum mean square error (MMSE) approach and design these equalizers using swarm intelligence based stochastic optimization algorithm which is applied to adapt...
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