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CEC
2007
IEEE
15 years 10 months ago
Efficient relevance estimation and value calibration of evolutionary algorithm parameters
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
Volker Nannen, A. E. Eiben
FLAIRS
2011
14 years 10 months ago
Evaluating Semantic Metrics on Tasks of Concept Similarity
This study presents an evaluation of WordNet-based semantic similarity and relatedness measures in tasks focused on concept similarity. Assuming similarity as distinct from relate...
Hansen Andrew Schwartz, Fernando Gomez
ATAL
2010
Springer
15 years 7 months ago
Self-organization for coordinating decentralized reinforcement learning
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
CP
2009
Springer
16 years 7 months ago
Constraint-Based Graph Matching
Measuring graph similarity is a key issue in many applications. We propose a new constraint-based modeling language for defining graph similarity measures by means of constraints. ...
Christine Solnon, Vianney le Clément, Yves ...
INFOCOM
2009
IEEE
16 years 1 months ago
An Economically-Principled Generative Model of AS Graph Connectivity
We explore the problem of modeling Internet connectivity at the Autonomous System (AS) level and present an economically-principled dynamic model that reproduces key features of t...
Jacomo Corbo, Shaili Jain, Michael Mitzenmacher, D...