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CEC
2005
IEEE
15 years 10 months ago
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 10 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
ICPR
2000
IEEE
16 years 5 months ago
Automatic Training of Page Segmentation Algorithms: An Optimization Approach
Most page segmentation algorithms have userspecifiable free parameters. However, algorithm designers typically do not provide a quantitative/rigorous method for choosing values fo...
Song Mao, Tapas Kanungo
CVPR
2010
IEEE
16 years 15 days ago
Globally Optimal Pixel Labeling Algorithms for Tree Metrics
We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis with a very large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...
ATAL
2010
Springer
15 years 5 months ago
A quantified distributed constraint optimization problem
In this paper, we propose a Quantified Distributed Constraint Optimization problem (QDCOP) that extends the framework of Distributed Constraint Optimization problems (DCOPs). DCOP...
Toshihiro Matsui, Hiroshi Matsuo, Marius-Calin Sil...