Results 41 to 50 of about 51,530 (240)
Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters
International Journal of Photoenergy, 2021 The parameters of the photovoltaic cells and panels are very important to forecast the power generated. There are a lot of methods to extract the parameters using analytical, metaheuristic, and hybrid algorithms.
Daniel T. Cotfas +3 more
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Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System [PDF]
, 2019 This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II).
Frutos, Mariano +3 more
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Complexity, 2020 For solving the job-shop scheduling problem (JSP), this paper proposes a novel two-level metaheuristic algorithm, where its upper-level algorithm controls the input parameters of its lower-level algorithm.
Pisut Pongchairerks
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KPLS Optimization With Nature-Inspired Metaheuristic Algorithms
IEEE Access, 2020 Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the ...
Jorge Daniel Mello-Roman +1 more
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Free Lunch or No Free Lunch: That is not Just a Question?
, 2012 The increasing popularity of metaheuristic algorithms has attracted a great deal of attention in algorithm analysis and performance evaluations. No-free-lunch theorems are of both theoretical and practical importance, while many important studies on ...
Yang, Xin-She
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Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
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Using metaheuristic algorithms remotely via ROS [PDF]
Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2007 Jose Garcia-Nieto Dpto. Lenguajes y Ciencias de la Computacion E.T.S. Ingenieria Informatica University of Malaga, Spain jnieto@lcc.uma.es Enrique Alba Dpto. Lenguajes y Ciencias de la Computacion E.T.S. Ingenieria Informatica University of Malaga, Spain eat@lcc.uma.es Francisco Chicano Dpto. Lenguajes y Ciencias de la Computacion E.T.S.
García Nieto, José Manuel +2 more
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Neural based hybrid metaheuristic technique for computing rotating transport of Falkner-Skan flow
Alexandria Engineering Journal, 2018 In present analysis we are focused on neural based hybrid metaheuristic technique for computing rotating transport of Falkner-Skan flow. We incorporate modeling of present problem using artificial neural network (ANN).
Z. Iqbal +3 more
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Implementing Metaheuristic Optimization Algorithms with JECoLi [PDF]
2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009 This work proposes JECoLi - a novel Java-based library for the implementation of metaheuristic optimization algorithms with a focus on Genetic and Evolutionary Computation based methods. The library was developed based on the principles of flexibility, usability, adaptability, modularity, extensibility, transparency, scalability, robustness and ...
Evangelista, Pedro +2 more
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Applied Computer ScienceDiabetes is a disruption in metabolism that leads to elevated levels of glucose in the bloodstream and causes many other problems, such as stroke, kidney failure, heart, and nerve issues that are of serious concern globally.
Sirmayanti +3 more
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