MOEADr
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R package MOEADr, a modular implementation of the Multiobjective Evolutionary Algorithm with Decomposition (MOEA/D) framework
To do after experiments and manuscript submission.
Stop criteria is tested once every iteration. If we select the number of evaluations stop criteria, we may do more than the defined number of evaluations. For example, suppose the...
- [ ] Condition checks for variation operators (is everyone between 0 and 1? is the output a matrix of the right size? Is the behavior correct depending on parameters?...
Some simple to program stop criterias, for adding after the paper is submitted: - [ ] diversity based stop criteria (number of identical solutions, or distance between new and old...
- [x] Write Vignette explaining how to define a MOEADr-compliant problem - [ ] Write vignette explaining the variation stack - [x] Finish documentation of function moead() - [x] Thorough...
There is just so much speed up that can be done, since it is O(N^3*nobj). But I believe we can still make it a bit faster. Here is the output...
Hi, The next version of irace: https://github.com/MLopez-Ibanez/irace/ will have some breaking changes: https://mlopez-ibanez.github.io/irace/news/index.html Some possible fixes are given here: https://github.com/mlr-org/bbotk/issues/226 I am happy to answer questions if something is not...