Optimizing the Energy Consumption of Blockchain-Based Systems Using Evolutionary Algorithms: A New Problem Formulation

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@Article{DBLP:journals/tsusc/AlofiBBH22,

• author = "Akram Alofi and Mahmoud A. Bokhari and Rami Bahsoon and Robert J. Hendley",
• title = "Optimizing the Energy Consumption of Blockchain-Based Systems Using Evolutionary Algorithms: A New Problem Formulation",
• journal = "IEEE Transactions on Sustainable Computing",
• year = "2022",
• volume = "7",
• number = "4",
• pages = "910--922",
• keywords = "genetic algorithms, genetic programming, genetic improvement, Search-Based Software Engineering, SBSE, Blockchain, Mining, Optimization, Evolutionary Algorithms, Sustainability",
• timestamp = "Sun, 12 Feb 2023 18:49:26 +0100",
• biburl = "https://dblp.org/rec/journals/tsusc/AlofiBBH22.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "https://research.birmingham.ac.uk/en/publications/optimizing-the-energy-consumption-of-blockchain-based-systems-usi",
• DOI = "doi:10.1109/TSUSC.2022.3160491",
• size = "15 pages",
• abstract = "... we represent the problem as a subset selection problem of miners in blockchain-based systems. We formulate the problem of blockchain energy consumption as an optimisation problem with four conflicting objectives: energy consumption, carbon emission, decentralisation and trust. We propose a model composed of different fitness functions ...",

}

Genetic Programming entries for Akram Alofi Mahmoud A Bokhari Rami Bahsoon Robert J Hendley

Citations