Application of Ant Colony Optimization Algorithm in the Construction of Smart Contract Management System

Abstract

With the rapid development of blockchain technology, smart contracts are becoming increasingly important in various applications. Aiming at the problems of uneven resource allocation, low execution efficiency and insufficient security that are still faced in their management and optimization, a smart contract management system based on ant colony optimization algorithm is proposed. First, we build a smart contract management framework, define the key parameters in the contract execution process, and use the ant colony optimization algorithm to simulate the intelligent behavior of multiple ants in problem solving, and continuously optimize the contract execution strategy through pheromone updates and path selection. Then, we use simulation experiments to compare the effects of traditional management methods and ant colony optimization algorithms. After using the ant colony optimization algorithm, the number of vulnerabilities is generally less than 5. The ant colony optimization algorithm shows a significant optimization effect in smart contract management, which provides new ideas for efficient and secure management of smart contracts in the future.