Zhi-Hui Zhan — accepted AI-conference papers

2026

A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling

Tao Li, Xingchen Li, Haoyue Ma, Zhi-Hui Zhan

AAAI 2026technical

Solving energy-saving distributed heterogeneous flexible job shop scheduling problem (ES-DHFJSP) aims to enhance industrial production efficiency while minimizing energy consumption. State-of-the-art co-evolutionary algorithms have emerged as effective approaches for addressing ES-DHFJSP. However, e

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2025

Grouping-Based Crowding Differential Evolution Approaches for Multimodal Feature Selection

Junliu Zhu, Zong-Gan Chen, Jian-Yu Li, Yuncheng Jiang, Zhi-Hui Zhan, Jun Zhang

ICASSP 2025accepted

Feature selection can increase the classification accuracy and reduce the scale of feature subset, which is important in various machine learning tasks. However, there are various preferences and limitations for the usage of features in different application scenes, and thus different scenes may req…

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