This paper presents a survey of the articles published in the period 2013–2021 related to the
application of the teaching–learning-based optimization (TLBO), which reproduces the …

The world health organization (WHO) proclaimed the COVID-19, commonly known as the
coronavirus disease 2019, was a pandemic in March 2020. When people are in close …

A modified firefly algorithm (FA) was presented in this paper for finding a solution to the
economic dispatch (ED) problem. ED is considered a difficult topic in the field of power …

In this paper, Clustered Adaptive Teaching Learning Based Optimization (CATLBO)
algorithm is proposed for determining the optimal hourly schedule of power generation in a …

With the introduction of concept of sustainable development for different applications,
combined heat and power system became very important due to reliability, economical …

Wind power plants (WPs) play a very important role in the power systems because thermal
power plants (TPs) suffers from shortcomings of expensive cost and limited fossil fuels. As …

This paper proposes an effectively modified firefly algorithm (EMFA) for searching optimal
solution of economic load dispatch (ELD) problem. The proposed method is developed by …

In this paper, the combined wind and thermal power plant systems are operated optimally to
reduce the total fossil fuel cost (TFFC) of all thermal power plants and supply enough power …

Description: Los inversores son dispositivos capaces de convertir el voltaje de corriente
directa en voltaje de corriente alterna, y pueden ser clásicos o también denominados de …

In this paper, a novel flower pollination algorithm (FPA) is implemented to solve the problem
of combined economic emission dispatch (CEED) in the power system. The FPA is a new …