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» Using UML for Business Object Based Systems Modeling
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ACMICEC
2006
ACM
213views ECommerce» more  ACMICEC 2006»
14 years 3 months ago
CMieux: adaptive strategies for competitive supply chain trading
Supply chains are a central element of today’s global economy. Existing management practices consist primarily of static interactions between established partners. Global compet...
Michael Benisch, Alberto Sardinha, James Andrews, ...
ARTMED
2006
75views more  ARTMED 2006»
13 years 9 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
HIPEAC
2005
Springer
14 years 2 months ago
Garbage Collection Hints
This paper shows that Appel-style garbage collectors often make suboptimal decisions both in terms of when and how to collect. We argue that garbage collection should be done when ...
Dries Buytaert, Kris Venstermans, Lieven Eeckhout,...
SIGIR
2010
ACM
14 years 24 days ago
Probabilistic latent maximal marginal relevance
Diversity has been heavily motivated in the information retrieval literature as an objective criterion for result sets in search and recommender systems. Perhaps one of the most w...
Shengbo Guo, Scott Sanner