@article{Yao2026, 
author = {Zheng Yao and Puqing Chang},
title = {High-Dimensional Multi-Objective Computation Offloading for MEC in Serial Isomerism Tasks via Flexible Optimization Framework},
year = {2026},
journal = {Computers, Materials & Continua},
volume = {86},
number = {1},
pages = {1-18},
keywords = {Edge computing offload, serial Isomerism applications, many-objective optimization, flexible resource scheduling},
url = {https://www.sciopen.com/article/10.32604/cmc.2025.068248},
doi = {10.32604/cmc.2025.068248},
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.}
}