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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 10 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...
140
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GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 9 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...
122
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 9 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe
149
Voted
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 7 months ago
Estimating the destructiveness of crossover on binary tree representations
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
Luke Sheneman, James A. Foster
109
Voted
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 4 months ago
Fitnessless coevolution
We introduce fitnessless coevolution (FC), a novel method of comparative one-population coevolution. FC plays games between individuals to settle tournaments in the selection pha...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...