Dealing with Solution Diversity in an EA for Multiple Objective Decision Support - A Case Study

@inproceedings{Gomes2004DealingWS,
  title={Dealing with Solution Diversity in an EA for Multiple Objective Decision Support - A Case Study},
  author={{\'A}lvaro Gomes and Carlos Henggeler Antunes and Antonio Gomes Martins},
  booktitle={EvoCOP},
  year={2004}
}
The characteristics of the search space (its size and shape as well as solution density) are key issues in the application of evolutionary algorithms to real-world problems. Often some regions are crowded and other regions are almost empty. Therefore, some techniques must be used to avoid solutions too close (which the decision maker is indifferent to) and to allow all the regions of interest to be adequately represented in the population. In this paper the concept of δ-non-dominance is… CONTINUE READING

Citations

Publications citing this paper.

Similar Papers