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» Improved Algorithms for the Feedback Vertex Set Problems
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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 8 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
TNN
2010
176views Management» more  TNN 2010»
14 years 11 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
CORR
2007
Springer
88views Education» more  CORR 2007»
15 years 4 months ago
Faster subsequence recognition in compressed strings
Abstract. Processing compressed strings without decompression is often essential when dealing with massive data sets. We consider local subsequence recognition problems on strings ...
Alexandre Tiskin
CSCLP
2007
Springer
15 years 10 months ago
A Global Filtration for Satisfying Goals in Mutual Exclusion Networks
We formulate a problem of goal satisfaction in mutex networks in this paper. The proposed problem is motivated by problems that arise in concurrent planning. For more efficient sol...
Pavel Surynek
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 10 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong