This paper discusses the power loss minimization problem in asymmetric distribution systems (ADS) based on phase swapping. is presented using a mixed-integer nonlinear programming model, which resolved by applying master–slave methodology. The master stage consists of an improved version crow search algorithm. generation candidate solutions normal Gaussian probability distribution. responsible ...

<p><span>The researchers have been exploring methods to use biometric characteristics of the user as a replacement for using unforgettable pass-word, in an attempt build robust cryptographic keys, because, human users detect difficulties call up long keys. Biometric recognition provides authentic solution authentication problem identity administration systems. With extensive utiliza...

This paper presents an efficient master–slave methodology to solve the problem of integrating photovoltaic (PV) generators into DC grids for a planning period 20 years. The is mathematically formulated as Mixed-Integer Nonlinear Programming (MINLP) with objective minimizing total annual operating cost. main stage, consisting discrete-continuous version Crow search algorithm (DCCSA), in charge d...

• The enhanced crow search algorithm outperforms the state-of-the-art variants. proposed optimizes parameters of extreme learning machine. wind power forecast model comparison models. Accurate prediction reduces operating cost system. strong volatility and randomness impact grid reduce voltage quality when is connected to in large scale. sector takes abandonment measures ensure stability. optim...

In this paper, the problem of deployment in wireless sensor networks is investigated. The authors propose a Hybrid Modified Crow Search Bee Algorithm (HMCSBA) for coverage maximization with guarantee connectivity between deployed sensors. Firstly, (MCSA) proposed based on basic CSA algorithm to form connected network after initial random deployment. position equation original was updated by int...