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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...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
13 years 12 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
13 years 11 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 11 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
13 years 11 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...