个人简介

曾志强，男，汉族，广东省韶关市人，本硕博毕业于华南理工大学，目前就职于东莞理工学院机械工程学院，副教授，东莞理工学院高层次人才。长期从事群智能与进化计算、生产调度、强化学习以及深度学习等方向的研究。发表论文50余篇，其中SCI/EI收录40余篇，第一作者或通讯作者发表SCI论文20余篇，中科院二区以上SCI十余篇。主持国基自然科学基金项目一项，主持广东省自然科学基金面上项目一项，主持广东省教育厅特色项目一项，主持多项企业横向项目。

主持项目（部分）

1. 国家自然科学基金项目：考虑装车效率的分布式柔性流水车间调度研究，30万，2024.01-2026.12，在研。

2. 广东省自然科学基金项目：集成能效生产调度与过程优化的造纸厂能效提升方法研究，10万，2019.10-2022.9，结题。

3. 广东省教育厅特色项目：面向绿色制造的造纸生产线多任务协同优化研究，20万，2020.4-2022.4，结题。

论文（部分）：

[1] Zeng Z Q（曾志强）, Zhang M, Chen T, et al. A new selection operator for differential evolution algorithm[J]. Knowledge-Based Systems, 2021, 226: 107150.（

[2] Zeng Z Q（曾志强）, Zhang H H. An evolutionary-state-based selection strategy for enhancing differential evolution algorithm[J]. Information Sciences, 2022, 617: 373-394.

[3] Zeng Z Q（曾志强）, Zhang M, Zhang H H, et al. Improved differential evolution algorithm based on the sawtooth-linear population size adaptive method[J]. Information Sciences, 2022, 608: 1045-1071.

[4] Zeng Z Q（曾志强）, Hong Z Y, Zhang H H, et al. Improving differential evolution using a best discarded vector selection strategy[J]. Information Sciences, 2022, 609: 353-375.

[5] Zeng Z Q（曾志强）, Hong M N, Li J G, et al. Integrating process optimization with energy-efficiency scheduling to save energy for paper mills[J]. Applied Energy, 2018, 225: 542-558.

[6] Zeng Z Q（曾志强）, Zhang X, Hong Z. A constrained multiobjective differential evolution algorithm based on the fusion of two rankings[J]. Information Sciences, 2023, 647: 119572.

[7] Zeng Z Q（曾志强）, Hong M N, Man Y, et al. Multi-object optimization of flexible flow shop scheduling with batch process—Consideration total electricity consumption and material wastage[J]. Journal of cleaner production, 2018, 183: 925-939.

[8] Zeng Z Q（曾志强）, Zhang M, Hong Z Y, et al. Enhancing differential evolution with a target vector replacement strategy[J]. Computer Standards & Interfaces, 2022, 82: 103631.

[9] Hong Z Y, Zeng Z Q*（曾志强，通讯作者）, Gao L. Energy-efficiency scheduling of multi-cell manufacturing system considering total handling distance and eligibility constraints[J]. Computers & Industrial Engineering, 2021, 151: 106998.

[10] Hu Y S, Yu X P, Ren J Z, Zeng Z Q*（曾志强，通讯作者）, Qian Q M. Waste tire valorization: Advanced technologies, process simulation, system optimization, and sustainability[J]. Science of The Total Environment, 2024: 173561.

[11]Tian J, Zeng Z Q*（曾志强，通讯作者）, Hong Z, et al. Research on salient object detection algorithm for complex electrical components[J]. Journal of Intelligent Manufacturing, 2024: 1-19.

[12] Hu Y S, Man Y, Ren J Z, Zhou Z J, Zeng Z Q*（曾志强，通讯作者）. Multi-step carbon emissions forecasting model for industrial process based on a new strategy and machine learning methods[J]. Process Safety and Environmental Protection, 2024, 187: 1213-1233.

[13] Liu X, Xu Y, Wang T*, Zeng Z Q*（曾志强，通讯作者）, Zhou Z, Zhai Y. An Adaptive Search Strategy Combination Algorithm Based on Reinforcement Learning and Neighborhood Search [J]. Journal of Computational Design and Engineering,2025, 12(2): 177-217.

[14] Tian-Lei Wang, Shao-Wei Gu, Ren-Ju Liu, Le-Qing Chen, Zhu Wang*, Zhi-Qiang Zeng*（曾志强，通讯作者）. Cuckoo Catfish Optimizer: A New Meta-Heuristic Optimization Algorithm. Artificial Intelligence Review.

[15] Zeng Z Q*（曾志强，通讯作者）, Liang W Y, Gao L. A differential evolution algorithm for numerical optimization based on cosine-exponential population size adaptive method. Memetic Computing.