The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …

Defining the optimal parameters of the photovoltaic system (PV) models according to the
actual real voltage and current data is a crucial process during designing, emulating …

A direct numerical method for optimal feedback control design of general nonlinear systems
is presented in this chapter. The problem is generally infinite dimensional. In order to convert …

Influence maximization in a social network refers to the selection of node sets that support
the fastest and broadest propagation of information under a chosen transmission model. The …

Fault diagnosis is part of the maintenance system, which can reduce maintenance costs,
increase productivity, and ensure the reliability of the machine system. In the fault diagnosis …

Industries are consuming more than 27% of the total generated energy in the world, out of
which 50% is used by different machines for processing, producing, and assembling various …

Background: Moth-flame optimization will meet the premature and stagnation phenomenon
when encountering difficult optimization tasks. Objective: This paper presented a quasi …

This article represents the key researches in the field of electrical engineering. Optimal VAr
dispatch is a multiple constraint objective function which improves the performance of the …

Nature-inspired algorithms are the current state-of-the-art optimization algorithms which are
quite popular due to their high employability and hence became powerful algorithms for …

In mining sectors, selection of equipments is important for ensuring hassle free production
[80]. Important operations in mining involve drilling, loading and hauling. Core drill rigs are …