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GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 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
211views Optimization» more  GECCO 2007»
15 years 4 months ago
An extremal optimization search method for the protein folding problem: the go-model example
The protein folding problem consists of predicting the functional (native) structure of the protein given its linear sequence of amino acids. Despite extensive progress made in un...
Alena Shmygelska
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 4 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
MIDDLEWARE
2007
Springer
15 years 4 months ago
Got predictability?: experiences with fault-tolerant middleware
Unpredictability in COTS-based systems often manifests as occasional instances of uncontrollably-high response times. A particular category of COTS systems, fault-tolerant (FT) mid...
Tudor Dumitras, Priya Narasimhan
PPAM
2007
Springer
15 years 3 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
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