8 search results - page 1 / 2 » Fitness inheritance for noisy evolutionary multi-objective o... |
GECCO
2005
Springer
14 years 3 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
14 years 3 days 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
14 years 3 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
13 years 11 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...
GECCO
2008
Springer
13 years 11 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 ...