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- Our framework:
- Formalizes intuitive concepts, issues, and algorithms arising in the study of coevolutionary optimization, allowing for theoretical treatment.
- Emphasizes the importance of discovering informative tests during coevolutionary search as a way of avoiding collusion and related issues.
- Suggests theoretical measures of progress and algorithmic approximations.