Optimization methods
OPTIMIZATION METHODS APPLIED TO NETWORK PLANNING PROBLEMS
... guaranteed. Optimization methods are a better choice from the point of view of the optimality of the ...of optimization [60; 133]. Details about how optimization models deal with this ...
172
Optimization Methods in Industrial Forest Plantations Management : Linking Strategic and Tactical Planning Scales
... One of the main reasons for filtering the initial set of 203 papers was the consideration of the term ‘plantation’ in short or medium rotations. Thus, 50 years of age was selected as a top limit for the rotation cut-off ...
135
Reconstruction of the gradient refractive index of the crystalline lens with optimization methods
... The optimization method was not successful with polynomial GRIN models such as the Gullstrand’s model, where coupling between coefficients and the high number of variables did not allow an easy relation between ...
159
Statistical and optimization methods for spatial data analysis applied to neuroscience
... of optimization for cortical neurons irrespective of their anatomical and functional features, other factors may have an influence on the growth of the neuronal ...
189
OPTIMIZATION METHODS FOR THE ITERATIVE SOLUTION OF COUPLED FLUID-STRUCTURAL PROBLEMS
... For the typical case of weak coupling between fluid and structure, the calculation of the cou- pled system can eventually be accelerated by a decoupling approach, using the solutions of the decoupled symmetric systems as ...
6
A comparative study of optimization methods and conventional methods for sampling design in fishery-independent surveys
... We have introduced and evaluated a procedure, the constrained spatial simulated annealing method, for developing an optimal sampling design for fishery-independent surveys. We used two criterion functions, minimization of ...
10
Nonlinear Optimization Methods for Accelerating Magnetic Resonance Imaging
... super-resolution methods developed in Section ...SR methods presented in this manuscript are not restricted to ...popular methods using sparse representations of over-complete dictionaries [Yang et ...
171
Contributions to the development of the CRO SL algorithm: Engineering applications problems
... One of the most used antennas in wireless communications is the inverted-F antenna (IFA) [Volakis2009, Elsheakh2014]. An inverted-F antenna is a planar metallic line printed on a PCB (Printed Circuit Board), without ...
143
Development of an algorithm for coupling matrix extraction in full-wave analysis of microwave filters
... of optimization algorithms with different convergence properties, of course, we would like to use one with superlinear convergence in order to get the result in the minimum number of steps ...are methods ...
57
Optimización heurística multiobjetivo para la gestión de activos de infraestructuras de transporte terrestre
... funds, optimization methods mainly used are mathematical programming and near-optimization ...near-optimization methods, too little attention has been paid to heuristic algorithms, ...
383
proximal_conos_proceeding.pdf
... [2] Alvarez, F. and L´ opez, J. and Ram´ırez C., H., Interior proximal algorithm with variable metric for second-order cone programming: applications to structural optimization and support vector machines, ...
10
Gravitational wave data analysis for the advanced detector era
... developed methods to search for intermediate-duration signals include the Stochastic Transient Analysis Multi-detector Pipeline (STAMP) (Thrane, 2011), the Hidden Markov model Viterbi algorithm (Sun and Melatos, ...
177
Integration of Structural Shape Modeling, Optimization and Analysis Methods: Foundations of a New Computer Aided Inventing Strategy and Application to an Engine Crankshaft
... proportional to that structure's performance relative to the rest of the population.To simulate selection, the phenotypes are scored according to a set of fitness criteria. When the system is being used to solve an ...
130
Aerodynamic shape optimization of a 3D wing via volumetric B-Splines
... the optimization; on the other hand, there is potential to link the computational grid to engineer design variables through the control box concept, which can also be ...
10
Graph layout problems: a metaheuristic approach
... of optimization problems in which the objective is to find the best separator of vertices or edges in a generic ...heuristic methods and embed them into a Variable Neighborhood Search scheme to solve this ...
180
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
... data from mobile phones in cars, etc. This would require more demanding stor- age (e.g. in HDFS) and more computing power for processing and integrating all the data (e.g. a Hadoop cluster), and in this scenario not only ...
12
Adams methods: implementation as predictor-corrector methods
... We present thereafter the results obtained by applying the Adams formulas to solve two initial value problems. The exact solution in the first one is known and we can then compare this value with those obtained by the ...
13
METHODS AND MATERIALS Molecular methods
... statistical methods now make it possible to investigate a population's history without the need for information on past population sizes ...These methods hold promise because information about a ...
5
Proper generalized decomposition for nonlinear convex problems in tensor Banach spaces / Antonio Falcó and Anthony Nouy
... Tensor-based methods are receiving a growing interest in scientic computing for the numerical solution of problems dened in high dimensional tensor product spaces, such as partial dierential equations arising from ...
25
Sustainable building design decisions for a large number of alternatives
... MCDM methods such as Weighting, Rating and Calculating (WRC) in that the IoA serves to weight the importance of various ...weighting methods are absolute. These traditional weighting methods could ...
118