Paradiseo

Known as: Parallel Optimization 
ParadisEO is a white-box object-oriented framework dedicated to the flexible design of metaheuristics. It uses EO, a template-based, ANSI-C… (More)
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Topic mentions per year

Topic mentions per year

1980-2018
010203019802018

Papers overview

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Highly Cited
2014
Highly Cited
2014
We propose a novel decomposition framework for the distributed optimization of general nonconvex sum-utility functions arising… (More)
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Highly Cited
2012
Highly Cited
2012
One of the main challenges for any university administrations is building a timetable for course sessions. Such a challenge not… (More)
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Highly Cited
2010
Highly Cited
2010
<lb>With the increase in available data parallel machine learning has become an in-<lb>creasingly pressing problem. In this paper… (More)
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2006
2006
This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary… (More)
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Highly Cited
2005
Highly Cited
2005
Training a support vector machine on a data set of huge size with thousands of classes is a challenging problem. This paper… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we present the ParadisEO white-box object-oriented framework dedicated to the reusable design of parallel and… (More)
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2004
2004
Numerous parallel and distributed evolutionary algorithms (PDEAs) and their implementations have been proposed and are available… (More)
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2003
2003
In this paper we present PARADISEO1, an open source framework for flexible parallel and distributed design of hybrid… (More)
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2003
2003
ParaDisEO is a framework dedicated to the design of parallel and distributed metaheuristics including local search methods and… (More)
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Highly Cited
2000
Highly Cited
2000
 
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