148
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GECCO
2010
Springer
15 years 8 months ago
2010
Springer
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
135
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GECCO
2010
Springer
15 years 8 months ago
2010
Springer
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
152
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AUSAI
2009
Springer
15 years 8 months ago
2009
Springer
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
141
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ATAL
2009
Springer
15 years 8 months ago
2009
Springer
Many real-world applications of multiagent systems require independently designed (heterogeneous) and operated (autonomous) agents to interoperate. We consider agents who offer bu...
142
Voted
ATAL
2009
Springer
15 years 8 months ago
2009
Springer
Normative systems in a multiagent system must be able to evolve over time, for example due to actions creating or removing norms in the system. The only formal framework to evalua...