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» Multiobjective hBOA, clustering, and scalability
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GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
15 years 3 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
15 years 3 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
89
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GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 3 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
15 years 3 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