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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 4 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
14 years 2 months ago
Coevolution of neural networks using a layered pareto archive
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
German A. Monroy, Kenneth O. Stanley, Risto Miikku...
SAB
2010
Springer
237views Optimization» more  SAB 2010»
13 years 9 months ago
BeeIP: Bee-Inspired Protocol for Routing in Mobile Ad-Hoc Networks
We introduce a new bee-inspired routing protocol for mobile ad hoc networks. Emphasis is given to the ability of bees to evaluate paths by considering several quality factors. In o...
Alexandros Giagkos, Myra S. Wilson
ICCV
2009
IEEE
15 years 3 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
SOQUA
2007
13 years 12 months ago
Designing multi-layers self-adaptive complex applications
The impossibility of statically determining the behavior of complex systems that interact at runtime with heterogeneous devices and remote entities, may lead to unexpected system ...
Davide Lorenzoli, Davide Tosi, Salvatore Venticinq...