The necessity for clean and sustainable energy has shifted the sector’s interest in renewable sources. Photovoltaics (PV) is most popular source because sun ubiquitous. However, PV’s power transfer efficiency varies with different load’s electrical characteristics, temperatures on PV panels, insolation conditions. Based these factors, Maximum Power Point Tracking (MPPT) a mechanism formulated a...

This paper presents a novel metaheuristic optimization algorithm inspired by the geometrical features of circles, called circle search (CSA). The is most well-known geometric object, with various including diameter, center, perimeter, and tangent lines. ratio between radius line segment orthogonal function angle opposite to radius. plays an important role in exploration exploitation behavior CS...

Metaheuristic optimization algorithms present an effective method for solving several problems from various types of applications and fields. Several metaheuristics evolutionary have been emerged recently in the literature gained widespread attention, such as particle swarm (PSO), whale algorithm (WOA), grey wolf (GWO), genetic (GA), gravitational search (GSA). According to literature, no one m...

We study here the application of a metaheuristic, issued from the noising methods and that we call “descent with mutations”, to a problem arising in the field of the aggregation of symmetric relations: the clique partitioning of a weighted graph. This local search metaheuristic, of which the design is very simple, is compared with another very efficient metaheuristic, which is a simulated annea...

Segmentation is one of the essential tasks in image processing. Thresholding is one of the simplest techniques for performing image segmentation. Multilevel thresholding is a simple and effective technique. The primary objective of bi-level or multilevel thresholding for image segmentation is to determine a best thresholding value. To achieve multilevel thresholding various techniques has been ...

The nurse rostering problem is an important search problem that features many constraints. In a nurse rostering problem, these constraints are defined by processes such as maintaining work regulations, assigning nurse shifts, and considering nurse preferences. A number of approaches to address these constraints, such as penalty function methods, have been investigated in the literature. We prop...

The aim of Search Based Software Engineering (SBSE) research is to provide automated optimization for activities right across the Software Engineering spectrum using a variety of techniques from the metaheuristic search, operations research and evolutionary computation paradigms. The SBSE approach has recently generated a great deal of interest, particularly in the field of Software Testing. Th...

This paper presents an approach for the automated cryptanalysis of substitution ciphers based on a recent evolutionary metaheuristic called Scatter Search. It is a population-based metaheuristic founded on a formulation proposed two decades ago by Fred Glover. It uses linear combinations on a population subsets to create new solutions while other evolutionary approaches like genetic algorithms ...