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» Solving Hierarchical Optimization Problems Using MOEAs
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TSP
2011
142views more  TSP 2011»
14 years 8 months ago
Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection
—This paper deals with the problem of estimating the steering direction of a signal, embedded in Gaussian disturbance, under a general quadratic inequality constraint, representi...
Antonio De Maio, Yongwei Huang, Daniel Pére...
UAI
2008
15 years 2 months ago
CORL: A Continuous-state Offset-dynamics Reinforcement Learner
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
Emma Brunskill, Bethany R. Leffler, Lihong Li, Mic...
BMCBI
2008
142views more  BMCBI 2008»
15 years 1 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
WEA
2009
Springer
111views Algorithms» more  WEA 2009»
15 years 8 months ago
A Heuristic for Fair Correlation-Aware Resource Placement
Abstract. The configuration of network resources greatly impacts the communication overhead for data intensive tasks and constitutes a critical problem in the design and maintenan...
Raouf Boutaba, Martin Karsten, Maxwell Young
105
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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 6 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo