MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems

@inproceedings{Costa2003MOPEDAM,
  title={MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems},
  author={Mario Costa and Edmondo A. Minisci},
  booktitle={EMO},
  year={2003}
}
An evolutionary multi -objective optimization tool based on an estimation of distribution algorithm is proposed. The algorithm uses the ranking method of non-dominated sorting genetic algorithm-II and the Parzen estimator to approximate the probabili ty density of solutions lying on the Pareto front. The proposed algorithm has been applied to different types of test case problems and results show good performance of the overall optimization procedure in terms of the number of function… CONTINUE READING
BETA

Citations

Publications citing this paper.
SHOWING 1-10 OF 45 CITATIONS

Similar Papers

Loading similar papers…