Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem

Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem

This study introduces a brand-new swarm-inspired algorithm dubbed dholes hunting-based optimization (DhoH) based on an animal hunting strategy to solve global optimization problems. The technique is a brilliant idea for simultaneously finding many local minima. The dhole’s hunting strateg...

Full description

Saved in:
Bibliographic Details
Main Authors: Binh Minh Nguyen, Thieu Nguyen, Quoc-Hien Vu, Tran Huy Hung, Tran Hoang Hai, Huynh Thi Thanh Binh, Van-Dang Tran
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Dholes hunting-based optimization
nature-inspired computing
swarm-inspired meta-heuristics
global search optimization
MPoC consensus protocol
blockchain network
Online Access:https://ieeexplore.ieee.org/document/10571943/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10571943/

Similar Items