HCSMBO: A hybrid cat swarm and monarch butterfly optimization algorithm for energy consumption optimization in industrial internet of things-Reference-Cited by-同舟云学术

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HCSMBO: A hybrid cat swarm and monarch butterfly optimization algorithm for energy consumption optimization in industrial internet of things

Published:2024-09 Issue: Volume:102 Page:279-289
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Wang Yongmei^ORCID,Ma Weiwei,Song Li,Cai Zerui

Publisher

Elsevier BV

Reference36 articles.

1. An improved hybrid swarm intelligence for scheduling IoT application tasks in the cloud;Elaziz;IEEE Trans. Ind. Inform.,2022

2. Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing;Shu;Future Gener. Comput. Syst.,2021

3. Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN;Zhou;IEEE Trans. Wirel. Commun.,2021

4. Distributed task scheduling in serverless edge computing networks for the Internet of Things: a learning approach;Tang;IEEE Internet Things J.,2022

5. Edge-aided computing and transmission scheduling for LTE-U-Enabled IoT;He;IEEE Trans. Wirel. Commun.,2020

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