8 search results - page 1 / 2 » Fitness inheritance for noisy evolutionary multi-objective o... |
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GECCO
2005
Springer
15 years 5 months ago
2005
Springer
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
AIIDE
2008
15 years 2 months ago
2008
It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realis...
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...
CEC
2007
IEEE
15 years 2 months ago
2007
IEEE
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
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GECCO
2008
Springer
15 years 1 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...