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» Multiobjective hBOA, clustering, and scalability
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GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
13 years 10 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
CEC
2005
IEEE
13 years 10 months ago
Improvements to the scalability of multiobjective clustering
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
Julia Handl, Joshua D. Knowles
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
13 years 11 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
CCGRID
2008
IEEE
13 years 11 months ago
A Stochastic Programming Approach for QoS-Aware Service Composition
—We formulate the service composition problem as a multi-objective stochastic program which simultaneously optimizes the following quality of service (QoS) parameters: workflow ...
Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn