Semantic sensor data integration for talent development via hybrid multi‐objective evolutionary algorithm

In this work, we propose a new hybrid Multi‐Objective Evolutionary Algorithm (hMOEA) specifically designed for semantic sensor data integration, targeting talent development within the burgeoning field of the Semantic Internet of Things (SIoT). Our approach synergizes the capabilities of Multi‐Objec...

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Bibliographic Details

Published in:	Internet technology letters Vol. 8; no. 2
Main Authors:	Luo, Fang, Yang, Ya‐Juan, Geng, Yu‐Cheng
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 01.03.2025
Subjects:	evolutionary multi‐objective ontology semantic talent
ISSN:	2476-1508, 2476-1508
Online Access:	Get full text
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