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EUROGP
1998
Springer
113views Optimization» more  EUROGP 1998»
14 years 2 months ago
Fitness Causes Bloat: Mutation
The problem of evolving, using mutation, an artificial ant to follow the Santa Fe trail is used to study the well known genetic programming feature of growth in solution length. Kn...
William B. Langdon, Riccardo Poli
ESCIENCE
2007
IEEE
14 years 2 months ago
Grid-Enabling an Efficient Algorithm for Demanding Global Optimization Problems in Genetic Analysis
Abstract. We study the implementation on grid systems of an efficient algorithm for demanding global optimization problems. Specifically, we consider problems arising in the geneti...
Mahen Jayawardena, Sverker Holmgren
ITSSA
2006
97views more  ITSSA 2006»
13 years 10 months ago
Service Evolution in Bio-Inspired Communication Systems
: An autonomic network must work unsupervised, therefore must be able to respond to unpredictable situations. The BIONETS project is working towards resilient network services that...
Daniele Miorandi, Lidia Yamamoto, Paolo Dini
WD
2010
13 years 8 months ago
Efficient MCS selection for MBSFN transmissions over LTE networks
Long Term Evolution (LTE), the next-generation network beyond 3G, is designed to support the explosion in demand for bandwidth-hungry multimedia services that are already experienc...
Antonios G. Alexiou, Christos Bouras, Vasileios Ko...
DMIN
2006
103views Data Mining» more  DMIN 2006»
13 years 11 months ago
Modeling of the counter-examples and association rules interestingness measures behavior
Association rules discovery is one of the most important tasks in Knowledge Discovery in Data Bases. Since the initial APRIORI algorithm, many efforts have been done in order to de...
Benoît Vaillant, Stéphane Lallich, Ph...