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Local search based metaheuristics for the robust vehicle routing problem with discrete scenarios
(Applied Soft Computing, 2015-07)
The Capacitated Vehicle Routing Problem (CVRP) is extended here to handle uncertain arc costs without resorting to probability distributions, giving the Robust VRP (RVRP). The unique set of arc costs in the CVRP is replaced ...
Gabriel-constrained Parametric Surface Triangulation
(2008-10)
The Boundary Representation of a 3D manifold contains FACES (connected subsets of a parametric surface S : R2−R3) -- In many science and engineering applications it is cumbersome and algebraically difficult to deal with ...
Autonomous control of a mobile robot with incremental deep learning neural networks
(Pontificia Universidad Católica del PerúPE, 2021)
Enhancing Brain Storm Optimization Through Optimum-Path Forest
(Ieee, 2018-01-01)
Among the many interesting meta-heuristic optimization algorithms, one can find those inspired by both the swarm and social behavior of human beings. The Brain Storm Optimization (BSO) is motivated by the brainstorming ...
A rank aggregation framework for video interestingness prediction
(2017-01-01)
Often, different segments of a video may be more or less attractive for people depending on their experience in watching it. Due to this subjectiveness, the challenging task of automatically predicting whether a video ...
Dropout through extended association rule netwoks: A complementary view
(2020-01-01)
Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its ...
Crime information improvement for situation awareness based on data mining
(2020-01-01)
Crime records hold critical information about crime situations including the offender actions, stolen objects description, characteristics of victims, the location of the crime situation, individuals involved and more. To ...
Feature Selection for Privileged Modalities in Disease Classification
(2021-01-01)
Multimodal data allows supervised learning while considering multiple complementary views of a problem, improving final diagnostic performance of trained models. Data modalities that are missing or difficult to obtain in ...
Support to content-based image query in object-oriented databases
(1998-02-27)
This paper presents an Object Manager that stores medical images as a data type of attributes that can be associated to objects, and a support system developed to offer this kind of tool to medical application developers. ...