Buscar
Mostrando ítems 11-20 de 1499
Stochastic scheduling - A flow shop no wait application and solutions
(Elsevier B.V., 1998-01-01)
Minimizing the makespan of a flow-shop no-wait (FSNW) schedule where the processing times are randomly distributed is an important NP-Complete Combinatorial Optimization Problem. In spite of this, it can be found only in ...
Stochastic scheduling - A flow shop no wait application and solutions
(Elsevier B.V., 1998-01-01)
Minimizing the makespan of a flow-shop no-wait (FSNW) schedule where the processing times are randomly distributed is an important NP-Complete Combinatorial Optimization Problem. In spite of this, it can be found only in ...
Convergence analysis of sampling-based decomposition methods for risk-averse multistage stochastic convex programs
(EMAp - Escola de Matemática Aplicada, 2016)
We consider a class of sampling-based decomposition methods to solve risk-averse multistage stochastic convex programs. We prove a formula for the computation of the cuts necessary to build the outer linearizations of the ...
A common Tabu search algorithm for the global optimization of engineering problems
(Elsevier B.V., 2001-01-01)
A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and hy solving a ...
A common Tabu search algorithm for the global optimization of engineering problems
(Elsevier B.V., 2001-01-01)
A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and hy solving a ...
SPECTRUM OF STOCHASTIC ADDING MACHINES AND FIBERED JULIA SETS
(World Scientific Publ Co Pte Ltd, 2013-09-01)
Consider the basic algorithm to perform the transformation n bar right arrow n + 1 changing digits of the d-adic expansion of n one by one. We obtain a family of Markov chains on the non-negative integers through successive ...
Approximation Algorithms For K-level Stochastic Facility Location Problems
(Springer New York LLC, 2016)
K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification
(2016-10-01)
The availability of polarimetric synthetic aperture radar (PolSAR) images has increased, and consequently, the classification of such images has received immense attention. Among different classification methods in the ...
Modeling and Calibration for Some Stochastic Differential Models
In many scientific fields, the dynamics of the system are often known, and the main challenge is to estimate the parameters that model the behavior of the system. The question then arises whether one can use experimental ...
A new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances
(2022-02-01)
Poisson noise is the main cause of degradation of many imaging modalities. However, many of the proposed methods for reducing noise in images lack a formal approach. Our work develops a new, general, formal and computationally ...