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CEC
2007
IEEE
14 years 1 months ago
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
Mike Preuss, Günter Rudolph, Feelly Tumakaka
NETWORKS
2008
13 years 7 months ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth
NAA
2000
Springer
104views Mathematics» more  NAA 2000»
13 years 11 months ago
A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems
In this work a grid free Monte Carlo algorithm for solving elliptic boundary value problems is investigated. The proposed Monte Carlo approach leads to a random process called a ba...
Todor V. Gurov, Paula A. Whitlock, Ivan Dimov
COLCOM
2005
IEEE
14 years 1 months ago
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 1 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan