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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 6 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
16 years 5 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,...
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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 3 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
15 years 6 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»
15 years 3 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