Evolutionary Algorithm
Mostrando 1-12 de 165 artigos, teses e dissertações.
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1. Evolutionary Design of Engineering Constructions
Abstract The basic information required to utilize one of possible computation tools/algorithms (mainly the evolution strategy) to solve a wide class of real practical engineering optimization problems is presented and discussed in the present paper. The effectiveness of the considered method is demonstrated by the possibility of the use of different form o
Lat. Am. j. solids struct.. Publicado em: 04/06/2018
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2. Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm
Abstract Introduction For improved efficiency and security in heat application during hyperthermia, it is important to monitor tissue temperature during treatments. Photoacoustic (PA) pressure wave amplitude has a temperature dependence given by the Gruenesein parameter. Consequently, changes in PA signal amplitude carry information about temperature varia
Res. Biomed. Eng.. Publicado em: 28/05/2018
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3. Mass and buckling criterion optimization of stiffened carbon/epoxy composite cylinder under external hydrostatic pressure
Abstract In this manuscript, stiffened carbon / epoxy composite cylinders under external hydrostatic pressure will be examined to minimize mass and maximize buckling pressure. The new approach proposed in this paper is single objective optimization of stiffened composite cylindrical shell under external pressure by genetic algorithm (GA) in order to obtain
Lat. Am. j. solids struct.. Publicado em: 23/04/2018
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4. Classical and stochastic mine planning techniques, state of the art and trends
Abstract Determination of the best possible ultimate pit for an open pit mine is a fundamental subject that has undergone a highly evolutionary process, reviewed in this study, since the correct choice carries substantial economic impact for the industry. The correct choice can be very beneficial for project analysis, whereas an incorrect choice has the pote
REM, Int. Eng. J.. Publicado em: 2018-04
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5. Algorithmic Formulations of Evolutionary Anisotropic Plasticity Models Based on Non-Associated Flow Rule
Abstract In the present paper, orthotropic elasto-plastic constitutive formulations for sheet metal forming based on non-associated flow rule that assume distortion of yield function/plastic potential with ongoing deformation process are analyzed. The yield function/plastic potential are considered as two different functions with functional form as orthotrop
Lat. Am. j. solids struct.. Publicado em: 2017-10
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6. An Implementation of Self-Organizing Maps for Airfoil Design Exploration via Multi-Objective Optimization Technique
ABSTRACT Design candidates obtained from optimization techniques may have meaningful information, which provides not only the best solution, but also a relationship between object functions and design variables. In particular, trade-off studies for optimum airfoil shape design involving various objectives and design variables require the effective analysis t
J. Aerosp. Technol. Manag.. Publicado em: 2016-06
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7. Developing and Multi-Objective Optimization of a Combined Energy Absorber Structure Using Polynomial Neural Networks and Evolutionary Algorithms
Abstract In this study a newly developed thin-walled structure with the combination of circular and square sections is investigated in term of crashworthiness. The results of the experimental tests are utilized to validate the Abaqus/ExplicitTM finite element simulations and analysis of the crush phenomenon. Three polynomial meta-models based on the evolved
Lat. Am. j. solids struct.. Publicado em: 2016
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8. Weldability studies and parameter optimization of AISI 904L super austenitic stainless steel using friction welding
Welding input parameters play a very significant role in determining the quality of a weld joint. The quality of the joint can be defined in terms of mechanical properties, distortion and weld-bead geometry. Generally, all welding processes are employed with the aim of obtaining a welded joint with the desired characteristics. The purpose of this study is to
Mat. Res.. Publicado em: 04/07/2014
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9. Wavelength assignment using a hybrid evolutionary computation to reduce cross-phase modulation
In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was developed for a static scenario where the physical topology and traffic matrix are known a priori. First, we used fixed shortest-path routin
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2014-06
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10. First report of recombination in Potato yellow vein virus (PYVV) in Colombia
Potato yellow vein virus (PYVV) is currently one of the most important viruses that infects potatoes in Colombia and other Andean countries, causing losses in the production of tubers ranging from 25% to 50%. This study analyzed the genetic variability of different viral isolates collected in the department of Nariño, Colombia, through bioinformatics analys
Trop. plant pathol.. Publicado em: 2014-06
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11. Fish swarm optimization algorithm applied to engineering system design
Nowadays, optimization techniques based on the analogy with swarming principles and collective activities of social species in nature have been used in the development of methodologies for solving a variety of real-world optimization problems. In this context, the social behavior of fish colonies has been recently explored to develop a novel algorithm, the s
Lat. Am. j. solids struct.. Publicado em: 2014-01
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12. Cash management policies by evolutionary models: a comparison using the Miller-Orr model
This work aims to apply genetic algorithms (GA) and particle swarm optimization (PSO) to managing cash balance, comparing performance results between computational models and the Miller-Orr model. Thus, the paper proposes the application of computational evolutionary models to minimize the total cost of cash balance maintenance, obtaining the parameters for
JISTEM J.Inf.Syst. Technol. Manag.. Publicado em: 2013-12