Fitness inheritance for noisy evolutionary multi-objective optimization

@inproceedings{Bui2005FitnessIF,
  title={Fitness inheritance for noisy evolutionary multi-objective optimization},
  author={Lam Thu Bui and Hussein A. Abbass and Daryl Essam},
  booktitle={GECCO},
  year={2005}
}
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive approach to counteracting noise using re-sampling and fitness inheritance. Six problems with different difficulties are used to test the methods. The results indicate that the probabilistic approach has better convergence to the Pareto optimal front, but it looses diversity quickly. However, methods based on re-sampling are… CONTINUE READING

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