Energy Optimisation via Genetic Improvement

Bobby R. Bruce
2015 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15  
The discipline of Software Engineering has arisen during a time in which developers rarely concerned themselves with the energy efficiency of their software. Due to the growth in both mobile devices and large server clusters this period is undoubtedly coming to an end and, as such, new tools for creating energy-efficient software are required. This paper takes the position that Genetic Improvement, a Search-Based Software Engineering technique, has the potential to aid developers in refactoring
more » ... pers in refactoring their software to a more energyefficient state; allowing focus to remain on functional requirements while leaving concerns over energy consumption to an automated process.
doi:10.1145/2739482.2768420 dblp:conf/gecco/Bruce15 fatcat:oikfmfe2dbalpd7qclkorsmnja