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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 2 months ago
Multiplicative approximations and the hypervolume indicator
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
Tobias Friedrich, Christian Horoba, Frank Neumann
CVPR
2009
IEEE
15 years 1 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
13 years 11 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
IRI
2009
IEEE
14 years 2 months ago
Towards a General Entity Representation Model
In recent years, there is an increasing interest in the Semantic Web and the relevant technologies, which can have a significant impact in the context of information and knowledge...
Barbara Bazzanella, Themis Palpanas, Heiko Stoerme...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
13 years 11 months ago
Structure and metaheuristics
Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of ...
Yossi Borenstein, Riccardo Poli