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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
APIN
1998
107views more  APIN 1998»
13 years 7 months ago
Multiple Adaptive Agents for Tactical Driving
Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no syst...
Rahul Sukthankar, Shumeet Baluja, John Hancock
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 1 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
BMCBI
2008
118views more  BMCBI 2008»
13 years 7 months ago
MetWAMer: eukaryotic translation initiation site prediction
Background: Translation initiation site (TIS) identification is an important aspect of the gene annotation process, requisite for the accurate delineation of protein sequences fro...
Michael E. Sparks, Volker Brendel
SIGMOBILE
2008
72views more  SIGMOBILE 2008»
13 years 7 months ago
RFID-based networks: exploiting diversity and redundancy
In this article, we outline a research agenda for developing protocols and algorithms for densely populated RFID based systems covering a wide geographic area. This will need mult...
Nitin Vaidya, Samir R. Das