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Essence-Based Clustering: A multi-strategic and highly-customizable clustering approach
(Institute of Electrical and Electronics Engineers Inc., 2017)
The choice of a good clustering algorithm is vital in many tasks to optimize results. Nowadays, the most used algorithms use only one strategy to find and form the clusters of data, which can limit the effectiveness of the ...
Effective properties of nodular cast-iron: A multi-scale computational approach
(Elsevier Science, 2014-02)
A numerical approach based on a computational constitutive multi-scale model is used in this work to predict the effective Young’s modulus and Poisson’s ratio of a pearlitic nodular cast iron. The Representative Volume ...
Novel approaches for exclusive and continuous fingerprint classification
(Scopus, 2009)
This paper proposes novel exclusive and continuous approaches to guide the search and the retrieval in fingerprint image databases. Both approaches are useful to perform a coarse level classification of fingerprint images ...
Evaluating loss minimization in multi-label classification via stochastic simulation using beta distribution
(Universidade Federal do Espírito SantoBRPrograma de Pós-Graduação em InformáticaUFESMestrado em Informática, 2016-05-20)
The objective of this work is to present the effectiveness and efficiency of algorithms for solving the loss minimization problem in Multi-Label Classification (MLC). We first prove that a specific case of loss minimization ...
Toward Integrated Production and Distribution Management in Multi-Echelon Supply Chains
(Elsevier, 2013-10)
The effective management of multi-site systems involves the proper coordination of activities performed in multiple factories, distribution centers (DCs), retailers and end-users located in many different cities, countries ...
A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
(Ieee, 2011-01-01)
This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...