PROJECT TITLE :
Genetic Improvement of Software: a Comprehensive Survey - 2017
Genetic improvement uses automated search to find improved versions of existing software. We tend to gift a comprehensive survey of this nascent field of research with a concentrate on the core papers in the world printed between 1995 and 2015. We have a tendency to identified core publications together with empirical studies, ninety six% of that use evolutionary algorithms (genetic programming in explicit). Though we will trace the foundations of genetic improvement back to the origins of laptop science itself, our analysis reveals a important upsurge in activity since 2012. Genetic improvement has resulted in dramatic performance enhancements for a diverse set of properties like execution time, energy and memory consumption, as well as results for fixing and extending existing system functionality. Moreover, we have a tendency to gift examples of research work that lies on the boundary between genetic improvement and other areas, such as program transformation, approximate computing, and software repair, with the intention of encouraging more exchange of ideas between researchers in these fields.
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