The performance of the Self-Organizing Map (SOM) algorithm is dependent on the initial weights of the map. The different initialization methods can broadly be classified into random and data analysis based initialization approach. In this paper, the performance of random initialization (RI) approach is compared to that of principal component initialization (PCI) in which the initial map weights...

The performance of surrogate-based optimization is dependent on the surrogate training set, certainly for realistic optimizations where high cost computing set data imposes small sizes. This especially true multi-fidelity models, different sets exist each fidelity. Adaptive sampling methods have been developed to improve fitting capabilities adding points only necessary or most useful process (...

in this paper, the static var compensator (svc) has been used to improve dynamic behaviour of power system. to do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. other contribution of this research is proposing a novel structure for particle swarm optimization (pso) algorithm through modifying the initia...

In this paper, a novel end-to-end learning approach, namely JTRD-Net, is proposed for uplink multiuser single-input multiple-output (MU-SIMO) joint transmitter and non-coherent receiver design (JTRD) in fading channels. The basic idea lies the use of artificial neural networks (ANNs) to replace traditional communication modules at both sides. More specifically, side modeled as group parallel li...