Optimization methods, the flow-based models
Analysis and optimization methods of graph based meta-models for data flow simulation
... graph based meta-models elicited from an synchronous data flow (SDF) model; these cases are used to frame the scope of this ...graph based meta-model can be described by a combination of three ...
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The models of the enterprise cash-flow optimization
... cash-flow optimization. Main approaches of the cash-flow optimization also were investigated and main ways of cash-flow management were ...grounded. Based on elaborated ...
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Optimization models and methods for transportation services
... of vehicles can be loaded in each time slot. Lastly, the total time of a route and the actually time a driver is behind the wheel must adhere to certain legal restrictions and union regulations. To model the RRDP, we ...
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Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
... unconstrained optimization methods. This scheme is based on using random models, which are assumed to satisfy some ”quality” conditions with probability at least p, conditioned on the ...this ...
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Pack Optimization Problem: Models and Solution Methods.
... With the above considerations, we propose another heuristic method called Hierar- chical Decomposition (HD) heuristic method. The HD heuristic method is based on the idea of breaking the original problem into ...
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Model-based methods to improve computing times in linear energy system optimization models
... [63] MIP/NLP Plant and grid operaton Time, 24 sub-problems, sequentally solved Benders decompositon. Roh and Shahidehpour[r] ...
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Evacuation Network Optimization: Models, Solution Methods and Applications
... lane-reversal optimization subproblem, intensification is useful when a roadway subnetwork is set for a specific lane reversal on a very frequent level, which indicates that a move representing an alternative lane ...
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Markov Models for Biogeography-based Optimization
... An optimization problem with a search space size of eight and linear migration curves, like the problems explored in this section, could have the following migration values, listed in order from least fit to most ...
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FUZZY OPTIMIZATION MODELS BASED METAHEURISTICS
... search methods, they are not since evolutionary searches methods base their operation on the evolution of a population of individuals in the search ...sociological, based on na- ture, ...search ...
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Stochastic programming models and methods for portfolio optimization and risk management
... ratio optimization to address the issue of data uncertainties from the perspective of computational ...formulations based on mixture distribution approach and first order moment ...in optimization ...
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A Review on Latest Optimization Models and Methods of Demand Side Management
... Latest Optimization Models and Methods of Demand Side Management ...techniques methods and proposed models for a grid connected photovoltaic system in the benefit of customers on demand ...
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Parameter estimation of microbial models using hybrid optimization methods
... computational models (Sun et ...These models commonly contain a set of parameters that represent the physiological properties of the ...many optimization methods have been proposed to estimate ...
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Surrogate-based methods for black-box optimization
... surrogate-based methods for black-box opti- ...surrogate models can be used in the poll step of a directional direct-search: Before the poll trial points are evaluated on the true functions, they are ...
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Modelling competition in demand-based optimization models
... Modelling the problem The framework The framework Three-level framework: customers, operators and market. 1 Customer level: discrete choice models take into account preference heterogeneity and model individual ...
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Surrogate-Based Optimization for Marine Ecosystem Models
... Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavik University, Menntavegur 1, 101 Reykjavik, Iceland Abstract Model calibration plays a key role in simulations and ...
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Stochastic and Deterministic Methods for Patient Flow Optimization in Care Service Networks
... schedule optimization method. The schedul- ing optimization models, on the other hand, have not included the general network effects, such as ward transfers and off-unit census, that are critical to ...
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Line search multilevel optimization as computational methods for dense optical flow
... multigrid optimization algorithms applied to estimate the optical flow between two successive frames of the above three ...optical flow models as described above in Section 2 and Subsection ...
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Adjoint-based airfoil shape optimization in transonic flow
... 1.1. MOTIVATION FOR AERODYNAMIC SHAPE OPTIMIZATION The wing is one of the most crucial components of aircraft design, due to its function of sustaining lift, and storage of the fuel. This alone constrains the ...
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Injection Molding Methods Design, Optimization, Simulation of Plastic Flow Reducer Part by Mold Flow Analysis
... 6) After comparison of results of existing and modified process parameters for pressure reducer part .The fill time ,quality of part filling for modified process parameters is higher .Also no other defects like weld line ...
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Spatial Chow-Lin Methods for Data Completion in Econometric Flow Models
... internal flow (SIF) models, ...spatial models rely on a spatial lag polynomial that takes into account the neighborhood relationships at all origins and ...is based on MCMC and has the ...
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