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» Evolutionary Algorithms for the Satisfiability Problem
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 7 months ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
147
Voted
FLAIRS
2008
15 years 4 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
125
Voted
ICIP
2010
IEEE
14 years 11 months ago
Evolutionary games for cooperative P2P video streaming
The wide-spread use of P2P video streaming systems have introduced a large number of unnecessary traverse links leading to substantial network inefficiency. To address this proble...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
90
Voted
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 5 months ago
Inside a predator-prey model for multi-objective optimization: a second study
In this article, new variation operators for evolutionary multiobjective algorithms (EMOA) are proposed. On the basis of a predator-prey model theoretical considerations as well a...
Christian Grimme, Karlheinz Schmitt
CEC
2005
IEEE
15 years 7 months ago
Hybrid evolutionary static scheduling for heterogeneous systems
Abstract- The complexity of the static scheduling problem on heterogeneous resources has motivated the development of low complexity heuristics such as list scheduling. However, th...
Cristina Boeres, Eyder Rios, Luiz Satoru Ochi