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» A Heuristic for Nonlinear Global Optimization
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WCRE
2002
IEEE
14 years 1 months ago
Applying Spectral Methods to Software Clustering
The application of spectral methods to the software clustering problem has the advantage of producing results that are within a known factor of the optimal solution. Heuristic sea...
Ali Shokoufandeh, Spiros Mancoridis, Matthew Mayco...
TSMC
2008
189views more  TSMC 2008»
13 years 8 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
ICC
2008
IEEE
121views Communications» more  ICC 2008»
14 years 3 months ago
Maximization of Network Survival Time in the Event of Intelligent and Malicious Attacks
—It is not possible to ensure that a network is absolutely secure. Therefore, network operators must continually change their defense strategies to counter attackers who constant...
Po-Hao Tsang, Frank Yeong-Sung Lin, Chun-Wei Chen
BMCBI
2008
166views more  BMCBI 2008»
13 years 8 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
NIPS
2008
13 years 10 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan