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» Multiobjective process controllability analysis
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EWC
2010
91views more  EWC 2010»
13 years 8 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
CEC
2005
IEEE
14 years 3 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 4 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
13 years 11 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
WSC
2001
13 years 11 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor