在实际工业生产中，生产管理与产品质量优化问题通常具有高维决策变量、复杂约束、多目标、Pareto前沿形状复杂等特点，传统优化算法难以高效求解，成为制约我国工业企业向智能制造转型发展的瓶颈科学难题。针对该问题，通过在算法搜索过程中引入数据解析和机器学习来挖掘知识，在基于知识驱动的多目标协同进化算法、基于知识驱动的多目标自学习进化算法、基于知识驱动的多目标多任务优化算法等方面开展研究，为求解实际工业生产中的复杂产品质量优化与生产管理问题提供新思路和新方法。

代表性论文

1. Wang XP, Zhao YM (博士生), Tang LX, Yao X. MOEA/D with spatial-temporal topological tensor prediction for evolutionary dynamic multiobjective optimization, IEEE Transactions on Evolutionary Computation, 2024, in press, DOI: 10.1109/TEVC.2024.3367747. (计算智能国际旗舰期刊, IF: 16.497, 中科院SCI 1区TOP)
   

2. Wang XP, Dong ZM, Tang LX^*. Multiobjective multitask optimization-neighborhood as a bridge for knowledge transfer, IEEE Transactions on Evolutionary Computation, 2023, 27(1): 155-169. (计算智能国际旗舰期刊, IF: 16.497, 中科院SCI 1区TOP, ESI高被引论文)

3. Tang LX^*, Wang XP^*. A hybrid multiobjective evolutionary algorithm for multiobjective optimization problems, IEEE Transactions on Evolutionary Computation, 17(1): 20-46, 2013. (计算智能国际旗舰期刊, IF: 16.497, 中科院SCI 1区TOP)

4. Wang XP, Dong ZM (博士生), Tang LX. Multiobjective differential evolution with personal archive and biased self-adaptive mutation selection, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(12): 5338-5350. (系统工程领域顶刊, IF: 11.471, 中科院SCI 1区TOP)

5. Tang LX^*, Wang XP^*, Dong ZM (博士生). Adaptive multiobjective differential evolution with reference axis vicinity mechanism, IEEE Transactions on Cybernetics, 2019, 49(9): 3571-3585. (生产与控制顶刊, IF: 19.118, 中科院SCI 1区TOP)

6. Tang LX^*, Liu C, Liu JY, Wang XP. An estimation of distribution algorithm with resampling and local improvement for an operation optimization problem in steelmaking process. IEEE Transactions on Systems, Man, and Cybernetics: Systems, in press, DOI: 10.1109/TSMC.2019.2962880, 2019. (系统工程领域顶刊, IF: 11.471, 中科院SCI 1区TOP)

7. Yao SS (博士生), Dong ZM (博士生), Wang XP^*, Lei Ren. A multiobjective multifactorial optimization algorithm based on decomposition and dynamic resource allocation strategy. Information Sciences, 2020, 511: 18-35. (IF: 8.233, 中科院SCI 1区TOP)

8. Dong ZM (博士生), Wang XP^*, Tang LX. MOEA/D with a self-adaptive weight vector adjustment strategy based on chain segmentation. Information Sciences, 2020, 521: 209-230. (IF: 8.233, 中科院SCI 1区TOP)

9. Li LL (博士生), Wang XP^*. An adaptive multiobjective evolutionary algorithm based on grid subspaces, Memetic Computing, 2021, 13: 249-269. (中科院SCI 2区, JCR Q1)

10. Wang XP, Tang LX^*. An adaptive multi-population differential evolution algorithm for continuous multi-objective optimization. Information Sciences, 2016, 348: 124-141. (IF: 8.233, 中科院SCI 1区TOP)