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Multi-objective optimization for the proper selection of the best heat pump technology in a fuel cell-heat pump micro-CHP system

Fan, Xiaochao; Sun, Hexu; Yuan, Zhi; Li, Zheng; Shi, Ruijing - In: Energy reports 6 (2020), pp. 325-335

In this paper, a new multi-objective technique has been proposed for optimal analysis of three different candidate heat pump solutions including the vapor compression cycle (VCC), trans-critical R744 cycle, and Peltier device to determine which one gives the best configuration and better...

Persistent link: https://www.econbiz.de/10012195100

Minimizing mean weighted tardiness in unrelated parallel machine scheduling with reinforcement learning

Zhang, Zhicong; Zheng, Li; Li, Na; Wang, Weiping; … - In: Computers & operations research : and their … 39 (2012) 7, pp. 1315-1324

Persistent link: https://www.econbiz.de/10009408366

Semiconductor final test scheduling with Sarsa(λ, k) algorithm

Zhang, Zhicong; Zheng, Li; Hou, Forest; Li, Na - In: European journal of operational research : EJOR 215 (2011) 2, pp. 446-458

Persistent link: https://www.econbiz.de/10009302759

MIP-based fix-and-optimise algorithms for the parallel machine capacitated lot-sizing and scheduling problem

Xiao, Jing; Zhang, Canrong; Zheng, Li; Gupta, Jatinder N. - In: International journal of production research 51 (2013) 16, pp. 5011-5028

Persistent link: https://www.econbiz.de/10010187094

Xiao, Jian; Zheng, Li - In: International journal of production research 48 (2010) 5/6, pp. 1321-1338

Persistent link: https://www.econbiz.de/10003939413

Minimising tardiness in hybrid two-stage batch scheduling problem in cyber-physical systems

Liu, Changchun; Wang, Qiang; Xiang, Xi; Zheng, Li - In: European journal of industrial engineering : EJIE 12 (2018) 2, pp. 276-306

Persistent link: https://www.econbiz.de/10011900060

Scheduling with job-splitting considering learning and the vital-few law

Liu, Changchun; Wang, Chenjie; Zhang, Zhi-hai; Li, Zheng - In: Computers & operations research : and their … 90 (2018), pp. 264-274

Persistent link: https://www.econbiz.de/10011775352