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Optimization methods

Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.

... We conducted simulation studies to determine model properties by varying the parameter h of an approximation of the Heaviside function, which we used for smoothing the non-differen- tiable parts of our model. The ...

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SURROGATE MODELING TECHNIQUES AND HEURISTIC OPTIMIZATION METHODS APPLIED TO DESIGN AND IDENTIFICATION PROBLEMS

SURROGATE MODELING TECHNIQUES AND HEURISTIC OPTIMIZATION METHODS APPLIED TO DESIGN AND IDENTIFICATION PROBLEMS

... numerical optimization as an engineering ...global optimization and surrogate modeling techniques as a way to rationally use the computer budget and increase the information level obtained during the ...

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A critical survey of optimization methods in industrial forest plantations

A critical survey of optimization methods in industrial forest plantations

... of optimization methods to forest management has given rise to a successful line of investigation in recent ...classic optimization methods, such as mixed integer programming, have been those ...

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Evaluation of optimization methods for solving the receptor model for chemical mass balance

Evaluation of optimization methods for solving the receptor model for chemical mass balance

... (Received 14 November 2013, revised 31 March, accepted 18 May 2014) Abstract: The chemical mass balance (CMB 8.2) model has been extensively used in order to determine source contribution for particulate matters (size ...

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DETERMINATION OF THE STACKING VELOCITY FIELD VIA OPTIMIZATION METHODS

DETERMINATION OF THE STACKING VELOCITY FIELD VIA OPTIMIZATION METHODS

... The global search optimization method, Genetic Algorithm, used for the automatic interpretation of Semblance, randomly generates an initial population of time interval velocities models [r] ...

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Braz. J. Chem. Eng.  vol.24 número1

Braz. J. Chem. Eng. vol.24 número1

... global optimization methods have been used for parameter estimation in both linear and nonlinear models (Bard, 1974; Britt and Luecke, 1973; Fabries and Renon, 1975; Gmehling et ...Local optimization ...

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Evolutionary Computation in Brazil: A Review of the Literature in Two Databases

Evolutionary Computation in Brazil: A Review of the Literature in Two Databases

... Abstract: Similar to what can be found all over the world, Evolutionary Computation (EC) has been receiving an increasing attention in Brazil in the last decade. It is possible to find several works on EC, both in theory ...

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eve cccavalcante a (y)

eve cccavalcante a (y)

... mathematical optimization methods in the study and design of key function- alities of wireless systems has acquired great ...of optimization methods to wireless communications ...of ...

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Synthesis of some Mechanisms using Natural Coordinates

Synthesis of some Mechanisms using Natural Coordinates

... different optimization methods lead directly to a design that fulfils all expected requirements or at least is the optimum one considering some desired ...the methods applied in this field. The tasks ...

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Evaluation of Genetic Divergence among Lines of Laying Hens using Cluster Analysis

Evaluation of Genetic Divergence among Lines of Laying Hens using Cluster Analysis

... an optimization criterion, the most convenient is ...the optimization methods, the parental group (set) is partitioned into non-empty subgroups that are mutually exclusive by means of the ...

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PARAMETRIC STUDY OF REINFORCED CONCRETE PLANE  FRAMES STRUCTURES THROUGH OPTIMIZATION

PARAMETRIC STUDY OF REINFORCED CONCRETE PLANE FRAMES STRUCTURES THROUGH OPTIMIZATION

... the optimization of reinforced concrete building ...the optimization of grillages and columns sections by heuristics ...different optimization methods (Simulated Annealing and Harmony Search, ...

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Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data

Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data

... swarm optimization, K-NN and LOOCV methods for feature selection ...several methods in six DNA microarray ...swarm optimization is superior to Non-SVM, MC-SVM, and BPSO in terms of diversity, ...

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PROBLEMS AND PROSPECTS OF FINANCING HIGHER EDUCATION INSTITUTIONS OF UKRAINE

PROBLEMS AND PROSPECTS OF FINANCING HIGHER EDUCATION INSTITUTIONS OF UKRAINE

... The paper considers the problems of financing higher education institutions and focuses on formation of estimates of higher education institutions in Ukraine. The study established that the public and municipal education ...

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A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction.

A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction.

... the optimization approach, which takes advantage of image smoothness along all image ...reconstruction optimization problem suppresses haze in the resulting ...

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Res. Biomed. Eng.  vol.31 número4

Res. Biomed. Eng. vol.31 número4

... (TFM). Methods: An actomyosin distribution was found with a topology optimization method (TOM), varying the material density and angle of contraction of each element of the actomyosin ...

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Variable Neighborhood Simplex Search Methods for Global Optimization Models

Variable Neighborhood Simplex Search Methods for Global Optimization Models

... Many optimization problems of practical interest are encountered in various fields of chemical, engineering and management ...hybrid methods combining the Variable Neighborhood Search (VNS) and simplex’s ...

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J. Braz. Chem. Soc.  vol.27 número9

J. Braz. Chem. Soc. vol.27 número9

... Due to the existence of few methods for the determination of pesticide residues in grapes and the occurrence of these compounds, this paper describes the optimization and validation o[r] ...

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Pesqui. Oper.  vol.34 número3

Pesqui. Oper. vol.34 número3

... gradient-related methods: Stohastic Approximation and Sample Average Approximation and many other important approaches are left out for the sake of ...penalty methods within SA methodology is presented in ...

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Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

... power optimization problem. The optimization has been performed and tested on Konya Eregli Distribution Network in Turkey, a section of Turkish electric distribution network managed by MEDAŞ (Meram ...

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PERFORMANCE COMPARISON OF SCENARIO-GENERATION METHODS APPLIED TO A STOCHASTIC OPTIMIZATION ASSET-LIABILITY MANAGEMENT MODEL

PERFORMANCE COMPARISON OF SCENARIO-GENERATION METHODS APPLIED TO A STOCHASTIC OPTIMIZATION ASSET-LIABILITY MANAGEMENT MODEL

... In ALM, banks have already used this rule to make their portfolios in the 1960s (Cohen & Hammer, 1967). Furthermore, pension funds also adopted this policy in the 1980s (Harrison & Sharpe, 1983), and the USA ...

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