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model-based optimization approach

A New Approach to Project Risk Responses Selection with Inter-dependent Risks

A New Approach to Project Risk Responses Selection with Inter-dependent Risks

... a model for proper risk response selection from the responses portfolio with the purpose of optimization of defined criteria for ...This model is capable of optimization of different criteria ...

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Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

... The optimization of investment portfolios is the most important topic in financial decision making, and many relevant models can be found in the ...portfolio optimization in this paper, deals with novel ...

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Optimizing the selection of architecture for component-based system

Optimizing the selection of architecture for component-based system

... Analysis Model (CBAM) [44] have been proposed with ATAM to provide quantitative and qualitative reasons about quality ...An approach guided by a quality attribute known as Attribute-Driven Design (ADD) ...

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Learning-based ship design optimization approach

Learning-based ship design optimization approach

... containership model for the ...discrete optimization model, a global optimization model and an artificial neural network (ANN) application for ship design, ...work model that ...

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Using Non Additive Measure for Optimization Based Nonlinear Classification

Using Non Additive Measure for Optimization Based Nonlinear Classification

... numerous optimization-based methods have been proposed for solving the classification problem in data ...Classic optimization-based methods do not consider attribute interactions toward ...

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A Cuckoo Based Optimization Approach for Image Enhancement

A Cuckoo Based Optimization Approach for Image Enhancement

... The original color (hue) information should be kept unaltered to enhance the color image. Thus, HSV color model [1] has been borrowed for enhancing the image in spatial domain. Here, the intensity component ( ) ...

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Variable-Fidelity Design Optimization of Microwave Devices Using Multi-Dimensional Cauchy Approximation and Coarsely Discretized Electromagnetic Models

Variable-Fidelity Design Optimization of Microwave Devices Using Multi-Dimensional Cauchy Approximation and Coarsely Discretized Electromagnetic Models

... generic approach to creating a coarse model is by exploiting the same EM solver as the one used to evaluate the fine model with a coarser ...coarse model should evaluate at least two to three ...

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Optimization Of Rate Of Penetration With Real Time Measurements Using Machine Learning And Meta-Heuristic Algorithm

Optimization Of Rate Of Penetration With Real Time Measurements Using Machine Learning And Meta-Heuristic Algorithm

... evaluated based on field results or experimental methods and most optimization techniques would choose the constants that maximize ...integrated model produces accurate predictions than individual ...

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Routing in Cognitive Radio Ad-Hoc Networks

Routing in Cognitive Radio Ad-Hoc Networks

... 2) Optimization approach to routing design: Here, opti- mization model and algorithm [11] is used to design routes in multi-hop ...This approach is based on Mixed Integer Non-Linear ...

7

A New Computational Approach for Estimation of Wilting Point for Green Infrastructure

A New Computational Approach for Estimation of Wilting Point for Green Infrastructure

... This study proposes the wilting point model development task based on optimization 22 approach of Genetic programming GP with respect to the input variables soil clay content, soil 23 or[r] ...

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An Optimization-based approach for vaccine prioritization

An Optimization-based approach for vaccine prioritization

... programming based approach used to determine the productive efficiency of a system or decision-making-unit (DMU) ...a model that calculates the efficiency score for each ...

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Fuzzy Model Identification: A Firefly Optimization Approach

Fuzzy Model Identification: A Firefly Optimization Approach

... fuzzy model identification can be formulated as a search and optimization ...fuzzy model based on some evaluation ...of optimization algorithm for fuzzy model identification ...

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Parameter calibration in global soil carbon models using surrogate-based optimization

Parameter calibration in global soil carbon models using surrogate-based optimization

... to optimization problems using an evaluation criterion ...surrogate model response surface is found and treated as the new parameter point to evaluate the real simulation model and then update the ...

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Fuzzy logic based qos optimization mechanism for service composition

Fuzzy logic based qos optimization mechanism for service composition

... adaptation approach that implements self-optimization based on fuzzy ...proposed optimization model performs service selection based on the analysis of historical and real QoS ...

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Empirical Optimal Kernel for Convex Multiple Kernel Learning

Empirical Optimal Kernel for Convex Multiple Kernel Learning

... recent approach is to use a two-stage pro- cedure [5],[15], in which the first stage finds the optimal weights to combine the kernels, and the second stage trains a standard classifier using the combined ...a ...

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New Service Provider Economics with Network Optimization Services. Executive Summary. Key Takeaways

New Service Provider Economics with Network Optimization Services. Executive Summary. Key Takeaways

... service model uses 21 times more chassis than Operator 3’s Network Optimization Services ...hybrid approach uses 13 times more chassis than Operator 3’s Network Optimization Services ...

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Multiresponse model based design parameters optimization: engineering approach

Multiresponse model based design parameters optimization: engineering approach

... this approach, the contribution to the sum of the deviations (9) will be given by parameters with large values of the function g  X, A  , which leads to significant recognition errors, especially in the complex ...

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An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

... the model defines the trust reliability and familiarity to evaluate node’s ...security model based on trusted data fusion to resist the capacity of the risks derived from data ...evaluation ...

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Comparative Analysis of Resource Discovery Approaches in Grid Computing

Comparative Analysis of Resource Discovery Approaches in Grid Computing

... Transferring Model-Based Approach A resource discovery technique called Routing- Transferring Model is proposed ...This model consists of three basic components - resource requester, ...

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Optimization of Health Care Services with Limited Resources

Optimization of Health Care Services with Limited Resources

... capacity model is intended to calculate the number of nurses needed, while the capacity of the management model should ideally also provide insight into opportunities to increase capacity use ...

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