Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Fernandes, Edite Manuela da G. P."'
This paper analyzes an iterative kernel partitioning clustering algorithm that dynamically merges, removes and adds clusters using some characteristics, like the radii and diameters of the clusters, and distance between centers. The clustering is car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::58b79f3e2931363087df9053ef4ae3e7
https://hdl.handle.net/1822/85212
https://hdl.handle.net/1822/85212
Autor:
Rocha, Ana Maria A. C., Costa, M. Fernanda P., Gaspar-Cunha, A., Fernandes, Edite Manuela da G. P.
The polymer single screw extruder optimal design has been involving the optimization of six objectives. Multi-objective optimization methods, in particular those based on the weighted Tchebycheff Scalarization (wTS) function, have provided reasonable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::b9b509c50d5e3bf3c30f5e0d8fdb596e
https://hdl.handle.net/1822/81462
https://hdl.handle.net/1822/81462
This paper contains a proposal to assign points to clusters, represented by their centers, based on weighted expected distances in a cluster analysis context. The proposed clustering algorithm has mechanisms to create new clusters, to merge two nearb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::1337310103785b9d2b9c0c0bb45f8f4b
https://hdl.handle.net/1822/76503
https://hdl.handle.net/1822/76503
Autor:
Rocha, Ana Maria A. C., Matos, Marina A., Costa, M. Fernanda P., Gaspar-Cunha, A., Fernandes, Edite Manuela da G. P.
The single screw extrusion optimal design involves the optimization of six criteria that can be efficiently handled by a weighted Tchebycheff scalarization method. The performance of the method has been analyzed for three different methods to gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::34fc73914d5a1d4cf68dc7cbc0093345
https://hdl.handle.net/1822/68718
https://hdl.handle.net/1822/68718
Autor:
Rocha, Ana Maria A. C., Martins, Marisa C., Costa, M. Fernanda P., Fernandes, Edite Manuela da G. P.
Publicado em: "Computational science and its applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I"
The problem herein addressed is a parameter estimation problem of the α-pinene process
The problem herein addressed is a parameter estimation problem of the α-pinene process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::21015688cfaee637ec5ddcee54bf905a
https://hdl.handle.net/1822/42898
https://hdl.handle.net/1822/42898
A penalty framework for globally solving mixed-integer nonlinear programming problems is presented. Both integrality constraints and nonlinear constraints are handled separately by hyperbolic tangent penalty functions. The preliminary numerical exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::769d1c08ea46f5e1ce7c4b1f3ea71550
https://hdl.handle.net/1822/42938
https://hdl.handle.net/1822/42938
This study presents a new two-swarm cooperative fish intelligence algorithm for solving the bound constrained global optimization problem. The master population is moved by a Lévy distribution and cooperates with the training population that follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::23e3443a83e7cda6e70eba5eff82ea8b
https://hdl.handle.net/1822/30788
https://hdl.handle.net/1822/30788
In this paper, we aim to analyze the performance of some variants of the harmony search (HS) metaheuristic when solving systems of nonlinear equations through the global optimization of an appropriate merit function. The HS metaheuristic draws its in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::e23f861b8ad32703be656dfafafa6b26
https://hdl.handle.net/1822/27238
https://hdl.handle.net/1822/27238
Nonlinear optimization problems introduce the possibility of multiple local optima. The task of global optimization is to find a point where the objective function obtains its most extreme value while satisfying the constraints. Some methods try to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::9a05abe87d3d48e532509439d11d1d36
https://hdl.handle.net/1822/27232
https://hdl.handle.net/1822/27232
Uncapacitated facility location problem (UFLP) is a combinatorial optimization problem, which has many applications. The artificial fish swarm algorithm has recently emerged in continuous optimization problem. In this paper, we present a simplifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::4d26a3e68361618b222c1289e3c13446
https://hdl.handle.net/1822/25208
https://hdl.handle.net/1822/25208