Blind voice separation refers to retrieve a set of independent sources combined by an unknown destructive system. The proposed separation procedure is based on processing of the observed sources without having any information about the combinational model or statistics of the source signals. Also, the number of combined sources is usually predefined and it is difficult to estimate based on the ...

Feature selection is a fundamental pre-processing step in machine learning that aims to reduce the dimensionality of dataset by selecting most effective features from original features. This process regarded as combinatorial optimization problem, and grey wolf optimizer (GWO), novel meta-heuristic algorithm, has gained popularity feature due its fast convergence speed easy implementation. In th...

Various ranging techniques are frequently employed in wireless sensor networks (WSNs) to determine the distance between a node and its neighboring anchor nodes. The measurement, as mentioned earlier is subsequently estimate location of whose unknown. present paper presents an Accurate Localization Scheme that utilizes Grey Wolf Optimization (GWO) based on Radio Signal Strength (RSS) technique. ...

State estimate serves a crucial purpose in the control centre of modern power system. Voltage phasor buses such configurations is referred to as state variables that should be determined during operation. A precise estimation needed define optimal operation all components. So many mathematical and heuristic techniques can used achieve aforementioned objective. An enhanced system estimator built...

Real World is filled with various hard and complex problems. One such complex problem is an optimization problem. Optimization has been an active area of research for several decades. . Optimized solutions are hard to find so there are no deterministic algorithms that can find exact solution in polynomial time. In large domain of applications of intelligence techniques we are interested in expl...