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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 14 days ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
GECCO
2006
Springer
291views Optimization» more  GECCO 2006»
14 years 14 days ago
Modular thinking: evolving modular neural networks for visual guidance of agents
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
14 years 3 days ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
AAAI
2008
13 years 11 months ago
A Computational Analysis of the Tournament Equilibrium Set
A recurring theme in AI and multiagent systems is how to select the "most desirable" elements given a binary dominance relation on a set of alternatives. Schwartz's...
Felix Brandt, Felix A. Fischer, Paul Harrenstein, ...
AAAI
2007
13 years 11 months ago
Generality and Equivalence Relations in Default Logic
Generality or refinement relations between different theories have important applications to generalization in inductive logic programming, refinement of ontologies, and coordin...
Katsumi Inoue, Chiaki Sakama