首页|期刊导航|自动化学报（英文版）|A Multi-Layered Gravitational Search Algorithm for Function Optimization andReal-World Problems

A Multi-Layered Gravitational Search Algorithm for Function Optimization andReal-World Problems

Yirui Wang Shangce Gao Mengchu Zhou Yang Yu

自动化学报（英文版）2021，Vol.8Issue(1)：94-109,16.

自动化学报（英文版）2021，Vol.8Issue(1)：94-109,16.DOI:10.1109/JAS.2020.1003462

A Multi-Layered Gravitational Search Algorithm for Function Optimization andReal-World Problems

Yirui Wang ¹Shangce Gao ¹Mengchu Zhou ²Yang Yu¹

作者信息

1. Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan
2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA
折叠

摘要

关键词

Artificial intelligence/exploration and exploitation/gravitational search algorithm/hierarchical interaction/hierarchy/machine learning/population structure

Key words

Artificial intelligence/exploration and exploitation/gravitational search algorithm/hierarchical interaction/hierarchy/machine learning/population structure

引用本文复制引用

Yirui Wang,Shangce Gao,Mengchu Zhou,Yang Yu..A Multi-Layered Gravitational Search Algorithm for Function Optimization andReal-World Problems[J].自动化学报（英文版）,2021,8(1):94-109,16.

基金项目

This research was partially supported by National Natural Science Foundation of China (61872271, 61673403, 61873105, 11972115), the Fundamental Research Funds for the Central Universities (22120190208), and JSPS KAKENHI (JP17K12751). （61872271, 61673403, 61873105, 11972115）

自动化学报（英文版）

OACSCD

ISSN：2329-9266

访问量0

下载量0

段落导航