Research on Social Public Governance Method Based on Intelligent Prediction Algorithm

DOI

10.2991/978-94-6463-016-9_22How to use a DOI?

Keywords

Social public governance; intelligent algorithms; superiority

Abstract

The problem of social public governance has become an important content of attention. The multi-objective optimization problem of minimizing the incremental cost of public governance input and maximizing the incremental benefit obtained is related to the development of social public governance. In response to this problem, this paper proposes a social public governance method based on intelligent algorithms to maximize benefits in multi-objective problems. First, under the combined optimization of different social governance schemes, the improved genetic algorithm is used to obtain multiple pareto solutions; secondly, the gain obtained by the unit incremental cost is used as the evaluation index; finally, the experimental verification shows that: The algorithm has certain advantages.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Xiao Chen
AU  - Wenjing Huang
AU  - Lin He
PY  - 2022
DA  - 2022/12/07
TI  - Research on Social Public Governance Method Based on Intelligent Prediction Algorithm
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 180
EP  - 186
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_22
DO  - 10.2991/978-94-6463-016-9_22
ID  - Chen2022
ER  -