Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Burles:2015:SSBSE,

• author = "Nathan Burles and Edward Bowles and Alexander E. I. Brownlee and Zoltan A. Kocsis and Jerry Swan and Nadarajen Veerapen",
• title = "Object-Oriented Genetic Improvement for Improved Energy Consumption in {Google Guava}",
• booktitle = "SSBSE",
• year = "2015",
• editor = "Yvan Labiche and Marcio Barros",
• volume = "9275",
• series = "LNCS",
• pages = "255--261",
• address = "Bergamo, Italy",
• month = sep # " 5-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, Object-oriented programming, Subclass substitution, Liskov Substitution Principle, Energy profiling",
• isbn13 = "978-3-319-22182-3",
• URL = "https://dspace.stir.ac.uk/bitstream/1893/22227/1/SSBSE15-oogiiecgg.pdf",
• URL = "http://hdl.handle.net/1893/22227",
• DOI = "doi:10.1007/978-3-319-22183-0_20",
• size = "6 pages",
• abstract = "In this work we use metaheuristic search to improve Google's Guava library, finding a semantically equivalent version of com.google.common.collect.ImmutableMultimap with reduced energy consumption. Semantics-preserving transformations are found in the source code, using the principle of subtype polymorphism. We introduce a new tool, Opacitor, to deterministically measure the energy consumption, and find that a statistically significant reduction to Guava's energy consumption is possible. We corroborate these results using Jalen, and evaluate the performance of the metaheuristic search compared to an exhaustive search-finding that the same result is achieved while requiring almost 200 times fewer fitness evaluations. Finally, we compare the metaheuristic search to an independent exhaustive search at each variation point, finding that the metaheuristic has superior performance.",
• notes = "Excludes Java garbage collection and JIT. Exhaustive search (80 CPU days). http://ssbse.info/2015",

}

Genetic Programming entries for Nathan Burles Edward Bowles Alexander E I Brownlee Zoltan Kocsis Jerry Swan Nadarajen Veerapen

Citations