Modern industry requires components and systems with high reliability levels. In this paper,
we address the system reliability optimization problem. A penalty guided stochastic fractal …

In this paper, a new version of the reliability-redundancy allocation problem (RRAP) is
introduced. In RRAPs, the reliability of the components used in a subsystem is considered …

The authors present an application of Stochastic Fractal Search (SFS) algorithm in control of
DC motor. SFS algorithm uses the concept of Fractal. Here, integration of time multiplied …

El hipertiroidismo es una enfermedad común que afecta a un 0.2% de la población en
Europa. Aun siendo un síndrome, el tratamiento varía dependiendo de la causa. Los …

In the present work, Stochastic Fractal Search (SFS) based Fractional Order Proportional
Integral Derivative (FOPID) has been proposed for optimal speed control of DC motor. For …

Power radial distribution systems are increasingly more and more important in transmitting
the electric energy from power plants to customers. However, total loss in lines are very high …

Order reduction of large scale single-input single-output (SISO) linear time invariant (LTI)
systems using stochastic fractal search (SFS) algorithm has been presented. Stochastic …

A new metaheuristic algorithm, Stochastic Fractal Search (SFS), is proposed to optimize the
two degree of freedom PID controller parameters to ensure an optimal control action. This …

Template matching is a basic and crucial process for image processing. In this paper, a
hybrid method of stochastic fractal search (SFS) and lateral inhibition (LI) is proposed to …

Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that
exploit principles of biological evolution., such as natural selection and genetic inheritance …