Selecting miners within blockchain-based systems using evolutionary algorithms for energy optimisation

Akram Alofi, Mahmoud Bokhari, Rami Bahsoon, Robert Hendley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we represent the problem of selecting miners within a blockchain-based system as a subset selection problem. We formulate the problem of minimising blockchain energy consumption as an optimisation problem with two conflicting objectives: energy consumption and trust. The proposed model is compared across different algorithms to demonstrate its performance.
Original languageEnglish
Title of host publicationGECCO '21
Subtitle of host publicationProceedings of the Genetic and Evolutionary Computation Conference Companion
EditorsFrancisco Chicano
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages291-292
Number of pages2
ISBN (Electronic)9781450383516
DOIs
Publication statusPublished - 7 Jul 2021
Event2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France
Duration: 10 Jul 202114 Jul 2021

Publication series

NameGECCO: Genetic and Evolutionary Computation Conference
PublisherAssociation for Computing Machinery (ACM)

Conference

Conference2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Country/TerritoryFrance
CityVirtual, Online
Period10/07/2114/07/21

Keywords

  • optimisation
  • evolutionary algorithms
  • mining
  • blockchain

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