李明(1986-)
男，安徽蕭縣人，2021年6月畢業(yè)于武漢理工大學(xué)自動(dòng)化學(xué)院,，獲工學(xué)博士學(xué)位。同年7月入職經(jīng)濟(jì)與管理學(xué)院工業(yè)工程系,，承擔(dān)《生產(chǎn)系統(tǒng)建模與仿真》、《智能制造導(dǎo)論》等課程的教學(xué)工作,。
主要從事智能制造系統(tǒng)的建模與仿真,、智能優(yōu)化算法等相關(guān)方面的研究工作。在《IEEE Transactions on Cybernetics》,、《Swarm and Evolutionary Computation》,、《Engineering Applications of Artificial Intelligence》等國(guó)際知名期刊發(fā)表多篇SCI。
發(fā)表論文目錄：
[1]Lei Deming; Li Ming; Wang Ling. A two-phase meta-heuristic for multiobjective flexible job shop scheduling problem with total energy consumption threshold [J]. IEEE Transactions on Cybernetics, 2019, 49(3): 1097-1109.
[2]Li Ming; Lei Deming; Cai Jingcao. Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives [J]. Swarm and Evolutionary Computation, 2019, 49: 34-43.
[3]Li Ming; Lei Deming. An imperialist competitive algorithm with feedback for energy-efficient flexible job shop scheduling with transportation and sequence-dependent setup times[J]. Engineering Applications of Artificial Intelligence, 2021, 103: 104307.
[4]Li Ming; Su Bin, Lei Deming. A novel imperialist competitive algorithm for fuzzy distributed two-stage assembly flow shop scheduling[J]. Journal of Intelligent & Fuzzy Systems, 2021, 40(3): 4545-4561.
[5]李明, 雷德明. 基于新型帝國(guó)競(jìng)爭(zhēng)算法的高維多目標(biāo)柔性作業(yè)車間調(diào)度[J]. 控制理論與應(yīng)用, 2019, 36(6): 893-901.
[6]李明, 雷德明. 考慮調(diào)整時(shí)間和關(guān)鍵目標(biāo)的低碳柔性作業(yè)車間調(diào)度研究[J]. 機(jī)械工程學(xué)報(bào), 2019, 55(21): 139-149.
聯(lián)系方式：l[email protected]