At the current stage of integration renewable energy sources into power systems many countries, requirements for compliance with established technical characteristics are being applied to generation. One such requirement is installed capacity utilization factor, which extremely important optimally placing facilities based on and successful development energy. Efficient placement maximizes facto...

Minimizing energy costs while maintaining consumer satisfaction is a very challenging task in smart home. The contradictory nature of these two objective functions (cost and level) requires multi-objective problem formulation that can offer several trade-off solutions to the consumer. Previous works have individually considered cost satisfaction, but there lack research considers both objective...

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...