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EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 6 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
88
Voted
EVOW
2005
Springer
15 years 6 months ago
An Attribute Grammar Decoder for the 01 MultiConstrained Knapsack Problem
We describe how the standard genotype-phenotype mapping process of Grammatical Evolution (GE) can be enhanced with an attribute grammar to allow GE to operate as a decoder-based Ev...
Robert Cleary, Michael O'Neill
86
Voted
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 6 months ago
Applying price's equation to survival selection
Several researchers have used Price’s equation (from biology theory literature) to analyze the various components of an Evolutionary Algorithm (EA) while it is running, giving i...
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A....
ISMIS
2005
Springer
15 years 6 months ago
Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble
Recently, there are many researchers to design Bayesian network structures using evolutionary algorithms but most of them use the only one fittest solution in the last generation. ...
Kyung-Joong Kim, Ji-Oh Yoo, Sung-Bae Cho
103
Voted
MDM
2005
Springer
127views Communications» more  MDM 2005»
15 years 6 months ago
Panel on mobility in sensor networks
Sensor networks are promising unprecedented levels of access to information about the physical world, in real time. Many areas of human activity are starting to see the benefits ...
Alexandros Labrinidis, Anthony Stefanidis