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» Evolutionary testing of classes
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126
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ATAL
2010
Springer
15 years 4 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
137
Voted
CEC
2010
IEEE
15 years 4 months ago
Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Peter Dueholm Justesen, Rasmus K. Ursem
133
Voted
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 4 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...
123
Voted
ALIFE
2007
15 years 3 months ago
A Synthetic Vision System Using Directionally Selective Motion Detectors to Recognize Collision
: Reliably recognizing objects approaching on a collision course is extremely important. In this paper, a synthetic vision system is proposed to tackle the problem of collision rec...
Shigang Yue, F. Claire Rind
144
Voted
ALMOB
2007
155views more  ALMOB 2007»
15 years 3 months ago
Finding coevolving amino acid residues using row and column weighting of mutual information and multi-dimensional amino acid rep
Background: Some amino acid residues functionally interact with each other. This interaction will result in an evolutionary co-variation between these residues – coevolution. Ou...
Rodrigo Gouveia-Oliveira, Anders Gorm Pedersen