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Mostrando ítems 21-30 de 2318
Nonlinear cutting stock problem model to minimize the number of different patterns and objects
(Sociedade Brasileira de Matemática Aplicada e Computacional, 2008)
ON THE MAXIMIZATION OF A CONCAVE QUADRATIC FUNCTION WITH BOX CONSTRAINTS
(Siam PublicationsPhiladelphia, 1994)
Continuous-time multiobjective optimization problems via invexity
(Hindawi Publishing CorporationNew YorkEUA, 2007)
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
(2001-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...
An adaptation of the dual-affine interior point method for the surface flatness problem
(Elsevier B.V., 2007-09-16)
This paper presents an adaptation of the dual-affine interior point method for the surface flatness problem. In order to determine how flat a surface is, one should find two parallel planes so that the surface is between ...
An innovative data structure to handle the geometry of nesting problems
(2017-12-17)
As in many other combinatorial optimisation problems, research on nesting problems (aka irregular packing problems) has evolved around the dichotomy between continuous (time consuming) and discrete (memory consuming) ...
On the solution of mathematical programming problems with equilibrium constraints
(Physica-verlag Gmbh & CoHeidelbergAlemanha, 2001)
Fuzzy interval optimal control problem
(2019-01-01)
This paper proposes the discrete-time fuzzy interval optimal control problem via single-level constrained fuzzy arithmetic. Fuzzy interval functions are established and allow us to evaluate the dynamics of the fuzzy interval ...
CONVERGENCE PROPERTIES OF ITERATIVE METHODS FOR SYMMETRICAL POSITIVE SEMIDEFINITE LINEAR COMPLEMENTARITY-PROBLEMS
(Inst Operations Research Management SciencesLinthicum Hts, 1993)
Neural approach for solving several types of optimization problems
(Springer, 2006-03-01)
Neural networks consist of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent neural net-works that ...