A multistrategy improved hunger games search algorithm

A multistrategy improved hunger games search algorithm

Abstract In this paper, we propose a multistrategy improved Hunger Games Search (MHGS) algorithm to address several inherent limitations of the original HGS, including imbalanced exploration and exploitation, insufficient population diversity, and premature convergence. The main contributions of MHG...

Full description

Saved in:
Bibliographic Details
Main Authors: Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Hunger games search
Phased optimization
Dynamic oppositional learning
Feature selection
Metaheuristic algorithm
Online Access:https://doi.org/10.1038/s41598-025-16513-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-16513-4

Similar Items