The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits using these products, location installation their capacity should be determined optimally network. this paper, optimize placement panels turbines with aim reducing losses improving reliability based on Energy No...

background: the purposes of this study were to develop a problem-based learning program for nursing student’s education and to evaluate the program after its implementation. methods: an intervention study carried out on 27 third year undergraduate nursing students in the nursing and midwifery faculty of kashan university of medical sciences. problem-based learning method was used for one group ...

The number of effective factors and their nonlinear behaviour—mainly the effect on concrete properties—has led researchers to employ complex models such as artificial neural networks (ANNs). compressive strength is certainly a prominent characteristic for design analysis structures. In this paper, 1030 samples from literature are considered model accurately efficiently strength. To aim, Feed-Fo...

This paper proposes an optimal design method to suppress critical harmonics and improve the power factor by using passive filters (PPFs). The main objectives include (1) minimizing total harmonic distortion of voltage current, (2) initial investment cost, (3) maximizing fundamental reactive compensation. A methodology based on teaching–learning-based optimization (TLBO) Pareto optimality is pro...

In the present deregulated electricity market, power system congestion is main complication that an independent operator (ISO) faces on a regular basis. Transmission line trigger serious problems for smooth functioning in restructured causing increase cost of transmission hence affecting market efficiency. Thus, it utmost importance investigation various techniques order to relieve network. Gen...

Shuffled frog-leaping algorithm (SFLA) is a heuristic optimization technique based on swarm intelligence that is inspired by foraging behavior of the swarm of frogs. The traditional SFLA is easy to be premature convergence. So, we present an improved shuffled frog-leaping algorithm with single step search strategy and interactive learning rule(called ‘SI-SFLA’). Single step search strategy enha...