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» An MOEA-based Method to Tune EA Parameters on Multiple Objec...
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IJCCI
2010
153views Fuzzy Logic» more  IJCCI 2010»
12 years 11 months ago
An MOEA-based Method to Tune EA Parameters on Multiple Objective Functions
Selmar K. Smit, A. E. Eiben, Z. Szlávik
GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
13 years 10 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 11 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
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
13 years 11 months ago
Self-adaptive ant colony optimisation applied to function allocation in vehicle networks
Modern vehicles possess an increasing number of software and hardware components that are integrated in electronic control units (ECUs). Finding an optimal allocation for all comp...
Manuel Förster, Bettina Bickel, Bernd Hardung...