Learning from Super-Mutants
نویسندگان
چکیده
In light of recent advances in genetic-algorithm-driven automated program modication, our team has been actively exploring the art, engineering, and discovery of novel semantics-preserving transforms. While modern compilers represent some of the best ideas we have for automated program modication, current approaches represent only a small subset of the types of transforms which can be achieved. In the wilderness of post-apocalyptic soware ecosystems of genetically-modied and mutant programs, there exist a broad array of potentially useful soware mutations, including semantics-preserving transforms that may play an important role in future soware design, development, and most importantly, evolution.
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