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199  Articles
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Several maximum power point (MPP) tracking algorithms for solar power or photovoltaic (PV) systems concerning partial-shading conditions have been studied and reviewed using conventional or advanced methods. The standard MPPT algorithms for partial-shadin... see more

This paper studies with the design of hybrid metaheuristics and their implementations. Hybrid metaheuristics involve some major issues that could be classified as design and implementation. Combining different kinds of methods is a ordinary strategy to s... see more

The model of optimal cooperative reconnaissance as a part of the tactical decision support system to aid commanders in their decision-making processes is presented. The model represents one of the models of military tactics implemented in the system to pl... see more

This paper presents the economic structural optimization of the Casa Síndico project using an algorithm programmed through the CSi API functions SAP2000v19-MATLAB R2015a, applying metaheuristic techniques: Genetic Algorithms (GA) and Particle Swarm Optimi... see more

The separation of color points is one of the important issues in computational geometry, which is used in various parts of science; it can be used in facility locating, image processing and clustering. Among these, one of the most widely used computationa... see more

La metaheurística sistema hormiga consiste en la analogía entre el procedimiento que utilizan las hormigas reales para la búsqueda de alimentos, encontrando la ruta más corta, y los problemas de optimización combinatoria para encontrar la mejor solución. ... see more

Introduction The capacitated vertex p-center problem is a location problem that consists of placing p facilities and assigning customers to each of these facilities so as to minimize the maximum distance between any customer and its assigned facility, sub... see more

Introduction: The goal of this paper is to illustrate how science can aid and have a positive impact on industrial decision-making problems. The combinatorial optimization problem consists of finding a partition of the set of basic units into territories ... see more

In literature, benchmark test functions have been used for evaluating performance of metaheuristic algorithms. Algorithms that perform well on a set of numerical optimization problems are considered as effective methods for solving real-world problems. Di... see more

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