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EC
2011
240views ECommerce» more  EC 2011»
15 years 1 months ago
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
Abstract—In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with ...
Johannes Bader, Eckart Zitzler
ICAI
2004
15 years 8 months ago
A User Centered Evolutionary Scheduling Framework
The need for supporting CSCW applications with heterogeneous and varying user requirements call for adaptive and reconfigurable schedulers accommodating a mixture of real-time, pro...
Horst Wedde, Muddassar Farooq, Mario Lischka
GECCO
2009
Springer
174views Optimization» more  GECCO 2009»
15 years 4 months ago
Shape grammars and grammatical evolution for evolutionary design
We describe the first steps in the adoption of Shape Grammars with Grammatical Evolution for application in Evolutionary Design. Combining the concepts of Shape Grammars and Genet...
Michael O'Neill, John Mark Swafford, James McDermo...
IAT
2006
IEEE
16 years 18 days ago
Evaluating Different Genetic Operators in the Testing for Unwanted Emergent Behavior Using Evolutionary Learning of Behavior
We present an experimental comparison of different genetic operators regarding their use in an evolutionary learning method that searches for unwanted emergent behavior in a multi...
Jörg Denzinger, Jordan Kidney
CEC
2009
IEEE
16 years 1 months ago
Symmetric networks foster to evolve desirable turn-taking rules in dispersion games
— Using a game-theoretic model combined with the evolutionary model, we investigate the conditions under which the desirable interaction rules will evolve and sustain in various ...
Akira Namatame, Hiroshi Sato