Selecting Miners within Blockchain-based Systems Using Evolutionary Algorithms for Energy Optimisation

Autor:	Alofi, Akram, Bokhari, Mahmoud A., Hendley, Robert, Bahsoon, Rami
Rok vydání:	2021
Předmět:	Computer Science - Neural and Evolutionary Computing
Druh dokumentu:	Working Paper
DOI:	10.1145/3449726.3459558
Popis:	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. Comment: To appear in 2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion), July 10--14, 2021, Lille, France
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2106.11916 Zobrazit plný text záznamu View this record from Arxiv