张浩：男，现就职于中国科学院沈阳自动化研究所。

科研成果:

一、论文

Hao Zhang, Lianbo Ma, Junyi Wang and Liang Wang, "Furnace-Grouping Problem Modeling and Multi-Objective Optimization for Special Aluminum," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2021.3051973.(Early Access Article)

2.Hao Zhang, Ku Tao, Lianbo Ma and Yibo Yong, “Handling Constrained Multi-Objective optimization with Objective Space Mapping to Decision Space Based on Extreme Learning Machine”. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1-7.

3.Hao Zhang, Yunlong Zhu, Wenping Zou, Xiaohui Yan. “A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production”. Applied Mathematical Modelling, Vol.36, pp.2578-2591, 2012. (SCI: 000301404600020, EI: 20120714774536, Impact Factor: 2.35, 1区)

4.Hao Zhang, Yunlong Zhu, Hanning Chen. “Root Growth Model - A Novel Approach to Numerical Function Optimization and Simulation of Plant Root System”. Soft Computing, Vol.18, No.3, pp.521-537, 2014. (SCI: 000331722000010, EI: 20141517567605, Impact Factor: 2.472, 3区)

5.张浩,库涛,张丁一. “考虑订单组批特性的特种铝锭组炉优化”,控制理论与应用, Vol.36, No.10, pp:1730-1737, 2019. (EI: 20194807747401)

6.张浩,朱云龙,亓祥波. “多目标根系生长算法在高精铜锭熔炼作业调度中的应用”,控制理论与应用, Vol.35, No.1, pp:121-128, 2018. (EI: 20182005193952)

7.Lianbo Ma, Xingwei Wang, Min Huang, Hao Zhang, Hanning Chen. “A novel evolutionary root system growth algorithm for solving multi-objective optimization problems“. Applied Soft Computing, Vol.57, pp. 379-398, 2017. (SCI: 000405457200025, EI: 20171703610553, Impact Factor: 3.541, 2区)

8.Xiangbo Qi, Yunlong Zhu, Hao Zhang. “A new metaheuristic butterfly-inspired algorithm“. Journal of Computational Science, Vol.23, pp. 226-239, 2017. (SCI: 000419410400020, EI: 20172503794524, Impact Factor: 1.748, 3区)

科研

1、国家自然科学基金：基于群智能体学习的特种铝合金生产调度建模与优化，经费25万；（在研）

2、辽宁省自然科学基金：基于群智能体学习的特种铝合金生产调度建模与优化，经费5万；（在研）

3、沈阳自动化研究所自主项目：内嵌式冗余定位易形变舱段高精度对接数字孪生技术研究，经费120万；（在研）

4、国家自然科学基金：基于根系智能生长行为的特种铝合金生产优化模型与算法研究，经费8万；（结题）