Genetic Algorithm in Optimization
Top PDF Genetic Algorithm in Optimization:
A hybrid genetic algorithm for route optimization in the bale collecting problem
... operations in grain and consists of defining the sequence in which bales spread over the field have to be ...behind in rows in order to be compressed and compacted into either cylindrical or ...
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Analysis and optimization of composite stringers
... task in the design process of many mechanical engineering fields, specially those related with the use of composite materials which offer the flexibility in the design of both the shape and the material ...
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TítuloDesign of Reconfigurable Array Antennas With Minimum Variation of Active Impedances
... ABSTRACT: In this letter, the authors propose an optimization method based on Genetic Algorithm (GA) to reconfigure a linear array of vertical half-wavelength dipole antennas to generate two ...
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TÉCNICAS EVOLUTIVAS EN PROBLEMAS MULTI-OBJETIVOS EN EL PROCESO DE PLANIFICACIÓN DE LA PRODUCCIÓN / EVOLUTIONARY TECHNIQUES FOR MULTI-OBJECTIVE PROBLEMS IN PRODUCTION PLANNING
... Planning in production environments takes care of designing, coordinating, managing and controlling all the operations existing in the use of productive ...are, in the framework analyzed within this ...
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Propuesta de Mejora de la Programación de la Producción Basada en Métodos Cuantitativos en la Empresa Café Semilla S A S en Bogotá D C
... developed genetic algorithms and a memetic algorithm for the FSDGS ...hybrid algorithm of tabu search and ant colony ...of genetic algorithms and simulated annealing for the FSDGS ...problems ...
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Cheminformatic models to predict binding affinities to human serum albumin
... problem. In addition, GFA ends up with an equation, therefore allowing the interpretation of the model in physical ...other optimization algorithms, like neural networks; when used for similar ...
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TítuloHigh performance genetic algorithm for land use planning
... involved in a municipal land use plan leads to high computational costs when running enough iterations to explore the complete search ...but optimization algo- rithms for spatial land use allocation have ...
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A runnable functional formal memetic algorithm framework
... provide genetic algorithm specialization (memetic algorithm, genetic algorithm with islands of possible solutions, etc) and additional genetic operators' ...one in which ...
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A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization
... fitting, in order to reach a limited set of ...increase in the set of specifications that usually require mutually exclusive goals that first order models are typically ill suited to ...illustrated ...
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Comparación de algoritmos evolutivos para la optimización en la clasificación de la obesidad en escolares
... Swarm Optimization (REPSO-C), Incremental Learning with Genetic Algorithms (ILGA) and Decision Tree with Genetic Algorithm (DT-GA) to determine the percent improvement during each iteration of ...
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TítuloHybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification
... SVM in the primal space is proposed by Wang et ...swarm optimization (PSO) [36] to optimize a GA-SVM method to predict single nucleotide polymorphisms (SNPs) and to select tag SNPs as pointed by Ilhan and ...
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Optimization of the savonius wind turbine using a genetic algorithm
... For the modification of shape propose, first a parametric 2D model of the Savonius rotor was created using the commercial software Unigraphics NX5. As it needed to have enough flexibility to generate a big space of ...
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Optimization of the Savonius wind Turbine Using a Genetic Algorithm-Edición Única
... The numerical method is in charge of solving that differential equations. To complete that task the numerical method first needs to transform each differential term into an algebraic relation. This transformation ...
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Contributions to the development of the CRO SL algorithm: Engineering applications problems
... tackle optimization problems through meta-heuristic ...provide, in general, good solutions in these cases or they are just unable to be applied to ...them. In this context, modern ...
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Assessing different rule quality measures in a genetic algorithm for discovering association rules
... In this investigation, the aim was to assess different rule quality measures using a benchmark suite of 6 widely-used datasets. These experimental results suggest that the rule Piatetsky-Shapiro provides a high ...
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A Genetic Algorithm for VNF Provisioning in NFV Enabled Cloud/MEC RAN Architectures
... studied in Reference ...bandwidth in current ...deployed in the operator premises are considered to be deployed in 5G access networks ...[7]. In References [8,9] the BBUs are divided ...
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Controller optimization for a solar tracking system using differential evolution
... The algorithm of differential evolution (de) was originally proposed by storm and price [14] ...evolutionary algorithm specializing in the mutation process through a differential ...reached. ...
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Precise algorithm to solve location of facilities problem, complement with a genetic algorithm
... This problem is taking up from an academic exercise, and a precise model is developed , which is able to evaluate the whole feasible places until the best location is achieved . As a complement a Meta-Heuristic Technical ...
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Multi-objective optimization with a Gaussian PSO algorithm
... our algorithm and, the value of the metrics (maximum, minimum, mean and deviation ...our algorithm, we also run other two algorithms: NSGA-II (one of the state-of-the-art-representative) and OMOPSO (a ...
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Robot arm fuzzy control by a neuro-genetic algorithm
... Amsterdam in the Netherlands ...presented in gure ...automatically in the opposite direction, in such a way that the angle of the third link of the arm and the base remain ...
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