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» A Graphical Model for Evolutionary Optimization
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CEC
2007
IEEE
15 years 9 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers
98
Voted
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
15 years 9 months ago
Seamless Execution of Action Sequences
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...
Freek Stulp, Wolfram Koska, Alexis Maldonado, Mich...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 8 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 3 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
BIBE
2009
IEEE
161views Bioinformatics» more  BIBE 2009»
15 years 10 months ago
Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods
One of the essential components of a virtual reality surgical simulation is deformation. Deformations in computer graphics and surgical simulations are commonly modeled with three...
Tansel Halic, Sinan Kockara, Coskun Bayrak, Richar...