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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
16 years 9 days ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ISSAC
2001
Springer
123views Mathematics» more  ISSAC 2001»
15 years 10 months ago
A probabilistic algorithm to test local algebraic observability in polynomial time
The following questions are often encountered in system and control theory. Given an algebraic model of a physical process, which variables can be, in theory, deduced from the inp...
Alexandre Sedoglavic
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
15 years 7 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
CORR
2011
Springer
192views Education» more  CORR 2011»
15 years 1 months ago
On cooperative patrolling: optimal trajectories, complexity analysis, and approximation algorithms
—The subject of this work is the patrolling of an environment with the aid of a team of autonomous agents. We consider both the design of open-loop trajectories with optimal prop...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...
WIMOB
2008
IEEE
16 years 15 days ago
A Distributed Scheduling Algorithm with QoS Provisions in Multi-hop Wireless Mesh Networks
—Multi-hop wireless mesh networks (WMNs) are considered a promising technology to backhaul heterogeneous data traffic from wireless access networks to the wired Internet. WMNs a...
Chi Harold Liu, Athanasios Gkelias, Yun Hou, Kin K...