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5.043  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

Nature-inspired metaheuristic algorithms have been recognized as powerful global optimization techniques in the last few decades. Many different metaheuristic optimization algorithms have been presented and successfully applied to different types of probl... 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

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

Metaheuristic algorithm is a powerful optimization method, in which it can solve problemsby exploring the ordinarily large solution search space of these instances, that are believed tobe hard in general. However, the performances of these algorithms sign... see more

Metaheuristic algorithms are computational intelligence paradigms especially used for solving different optimization issues.  Metaheuristics examine a collection of solutions otherwise really be wide to be thoroughly addressed or discussed in any oth... see more

This paper presents a basic approach to parallel universes algorithm (PU), and also a new version of PU. The new version is called the improved parallel universes (IPU) algorithm and is based on focusing on the solutions with a higher probability of impro... see more

Capacitated Vehicle Routing Problem (CVRP) is among transportation problems that are of the foremost concerns in logistics. Ensuring an effective product distribution over a large distribution network while reducing the required costs represents the scope... 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

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