A feature rich distance-based many-objective visualisable test problem generator
Author:
Affiliation:
1. University of Exeter, UK
2. The University of Manchester, UK
3. University of Jyvaskyla, Finland
Funder
Natural Environment Research Council
Engineering and Physical Sciences Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3321707.3321727
Reference41 articles.
1. Working principles, behavior, and performance of MOEAs on MNK-landscapes
2. How to Create Generalizable Results
3. Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems
4. Techniques for highly multiobjective optimisation
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