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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 5 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
ICST
2009
IEEE
15 years 6 months ago
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM)
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
Abdul Salam Kalaji, Robert M. Hierons, Stephen Swi...
TCIAIG
2010
14 years 6 months ago
Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution
In this paper, we applied online neuroevolution to evolve nonplayer characters for The Open Racing Car Simulator (TORCS). While previous approaches allowed online learning with per...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
PAMI
2012
13 years 2 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
WWW
2008
ACM
16 years 14 days ago
Efficient multi-keyword search over p2p web
Current search mechanisms of DHT-based P2P systems can well handle a single keyword search problem. Other than single keyword search, multi-keyword search is quite popular and use...
Hanhua Chen, Hai Jin, Jiliang Wang, Lei Chen 0002,...