个人简介

邵仲世，讲师，工学博士；2019年获南京航空航空航天大学软件工程专业博士学位；主持完成江苏省研究生科研与实践创新计划项目1项，并在相关领域发表SCI论文17篇。

学术论文

[1] Zhongshi Shao, Dechang Pi*, Weishi Shao. A novel multi-objective discrete water wave optimization for solving multi-objective blocking flow-shop scheduling problem. Knowledge-Based Systems, 2019, 65, 110-131.

[2] Zhongshi Shao, Dechang Pi*, Weishi Shao, Peisen Yuan. An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem. Engineering Applications of Artificial Intelligence, 2019, 78, 124-141.

[3] Zhongshi Shao, Dechang Pi*, Weishi Shao. A multi-objective discrete invasive weed optimization for multi-objective blocking flow-shop scheduling problem. Expert Systems with Applications, 2018, 113, 77-99.

[4] Zhongshi Shao, Dechang Pi*, Weishi Shao. A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times. Swarm and Evolutionary Computation, 2018, 40, 53-75.

[5] Zhongshi Shao, Dechang Pi*, Weishi Shao. Self-adaptive discrete invasive weed optimization for the blocking flow-shop scheduling problem to minimize total tardiness. Computers & Industrial Engineering, 2017, 111, 331-351.

主持(或参与)的项目

江苏省研究生科研与实践创新计划项目“基于新型离散群智能的阻塞流水车间调度优化方法研究”（项目编号：KYCX17_0287, 2017.6-2018.6，主持，已结题）