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

TL;DR

This paper models miner selection in blockchain systems as an optimization problem balancing energy use and trust, employing evolutionary algorithms to improve energy efficiency.

Contribution

It introduces a novel multi-objective optimization model for miner selection in blockchain, focusing on energy minimization and trust enhancement.

Findings

Evolutionary algorithms effectively reduce energy consumption.

The model balances trust and energy efficiency.

Comparative analysis shows improved performance over existing methods.

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.