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» On an Optimization Problem in Sensor Selection*
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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 4 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
15 years 2 months ago
Neuroevolution of mobile ad hoc networks
This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...
David B. Knoester, Heather Goldsby, Philip K. McKi...
ICCAD
1999
IEEE
84views Hardware» more  ICCAD 1999»
15 years 2 months ago
OPTIMISTA: state minimization of asynchronous FSMs for optimum output logic
The optimal state minimization problem is to select a reduced state machine having the best logic implementation over all possible state reductions and encodings. A recent algorit...
Robert M. Fuhrer, Steven M. Nowick
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
14 years 11 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
IIS
2000
14 years 11 months ago
Speeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
Ryszard S. Michalski, Guido Cervone, Kenneth A. Ka...