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Search-Based Model Transformations with MOMoT
[chapter]
2016
Lecture Notes in Computer Science
Many scenarios require flexible model transformations as their execution should of course produce models with the best possible quality. At the same time, transformation problems often span a very large search space with respect to possible transformation results. Thus, guidance for transformation executions to find good solutions without enumerating the complete search space is a must. This paper presents MOMoT, a tool combining the power of model transformation engines and meta-heuristics
doi:10.1007/978-3-319-42064-6_6
fatcat:xwx7urpmcvf6ddahck33csusdu