Open Access

ARTICLE

High-Dimensional Multi-Objective Computation Offloading for MEC in Serial Isomerism Tasks via Flexible Optimization Framework

Zheng Yao^*, Puqing Chang

School of Robotics and Automation, Hubei University of Automotive Technology, Shiyan, 442002, China

* Corresponding Author: Zheng Yao. Email:

(This article belongs to the Special Issue: IoT-assisted Network Information System)

Computers, Materials & Continua 2026, 86(1), 1-18. https://doi.org/10.32604/cmc.2025.068248

Received 23 May 2025; Accepted 22 August 2025; Issue published 10 November 2025

Abstract

As Internet of Things (IoT) applications expand, Mobile Edge Computing (MEC) has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices. Edge-side computation offloading plays a pivotal role in MEC performance but remains challenging due to complex task topologies, conflicting objectives, and limited resources. This paper addresses high-dimensional multi-objective offloading for serial heterogeneous tasks in MEC. We jointly consider task heterogeneity, high-dimensional objectives, and flexible resource scheduling, modeling the problem as a Many-objective optimization. To solve it, we propose a flexible framework integrating an improved cooperative co-evolutionary algorithm based on decomposition (MOCC/D) and a flexible scheduling strategy. Experimental results on benchmark functions and simulation scenarios show that the proposed method outperforms existing approaches in both convergence and solution quality.

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Keywords

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