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» Evolutionary multiobjective optimization
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78
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GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions
To obtain the expertise to correctly perform minimally– invasive vascular interventions thorough training is required. Training using simulation systems are increasingly becomin...
Peter A. N. Bosman, Tanja Alderliesten
CIARP
2008
Springer
15 years 3 months ago
Feature Selection through Dynamic Mesh Optimization
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Rafael Bello, Amilkar Puris, Rafael Falcón,...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
100
Voted
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
15 years 8 months ago
Concept-based multi-objective problems and their solution by EC
Recent studies on the support of engineers during conceptual design resulted in a non-traditional type of Multi-Objective Problems (MOPs), namely concept-based ones. In concept-ba...
Amiram Moshaiov, Gideon Avigad
107
Voted
LWA
2007
15 years 3 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst