Multimodal optimization problems (MMOPs) are a class of complex optimization problems that require locating multiple global optima accurately. While evolutionary computation (EC) algorithms are widely used for solving optimization problems, they often struggle to balance exploration and exploitation in solving MMOPs. M...
Ming-Kun Guo, Wen-Cong Huang, Yi Jiang et al.· International Conference on...· 0 citations
The vehicle routing problem (VRP) is a fundamental combinatorial optimization problem with wide-ranging applications in networks, logistics, transportation, and distribution systems. At its core, the VRP seeks to design a set of vehicle routes that serve a collection of customers from one or more depots while minimizin...
Jing-Yang Zhao, Uman Khalid, Saw Nang Paing et al.· IEEE Communications Surveys...· 0 citations
To support heterogeneous services in 5G and beyond, multi-radio access technology (multi-RAT) mobile edge computing (MEC) systems must jointly handle user association and radio resource allocation under stringent delay requirements. This problem becomes particularly challenging when ultra-reliable low-latency communica...
Zhao-Kun Shao, Kangyu Gao, Zhi-Hui Zhan et al.· International Conference on...· 0 citations
An uncertainty-aware acquisition rule that combines predicted utility, utility uncertainty, and transition uncertainty to select the next LLM generation action is proposed.
Yu-Hang Wang, Chaoda Peng, Xingyu Wu et al.· 0 citations
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