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GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
13 years 10 months ago
Automatic circle detection on images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a recently developed swarm-intellige...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 10 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 3 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
MP
2006
123views more  MP 2006»
13 years 8 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...
CF
2006
ACM
14 years 18 days ago
Performance characteristics of an adaptive mesh refinement calculation on scalar and vector platforms
Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise intractable problems in computational science. The AMR strategy solv...
Michael L. Welcome, Charles A. Rendleman, Leonid O...