Creating Trust Within Population of Evolutionary Computation in an Uncertain Environment Using Blockchain

【Author】 Sato, Hiroshi; Kubo, Masao

【Source】ARTIFICIAL INTELLIGENCE FOR COMMUNICATIONS AND NETWORKS, AICON 2022

【影响因子】

【Abstract】Various population-based optimization methods have been proposed following the development of evolutionary computation. Optimization is achieved through the interactions of many individuals in these systems. However, reliability becomes an issue when the system is implemented in a distributed environment. It may not be possible to trust others in such an environment. Many factors, such as malfunction of distributed parts or failure to synchronize, will break the trust. Therefore, there must be some mechanism that can build trust between distributed individuals. The record of past actions is usually a good source for trust building. This paper utilizes the blockchain mechanism for the population-based optimization system to make a trust management system. By using blockchain, we can implement trust without a central authority. In the system, all interactions are reviewed and get feedback, and the feedback is used to calculate the trust score.

【Keywords】Trusted system; Blockchain; Surrogate Assisted; Evolutionary Computation

【发表时间】2023

【收录时间】2023-07-19

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-进化计算