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Modeling and constrained multivariable predictive control for ORC (Organic Rankine Cycle) based waste heat energy conversion systems

Zhang, Jianhua; Zhou, Yeli; Wang, Rui; Xu, Jinliang; … - In: Energy 66 (2014) C, pp. 128-138

In this paper, the structure and control tasks are briefly summarized for ORC (Organic Rankine Cycle) based WHECSs (waste heat energy conversion systems). A control-oriented physical model is established for WHECSs. The energy conversion efficiency of ORC systems is investigated. A constrained...

Persistent link: https://www.econbiz.de/10010809125

The iPICEA-g : a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

Wang, Rui; Purshouse, Robin C.; Giagkiozis, Ioannis; … - In: European journal of operational research : EJOR 243 (2015) 2, pp. 442-453

Persistent link: https://www.econbiz.de/10010510082

Solving a multi-objective dynamic stochastic districting and routing problem with a co-evolutionary algorithm

Lei, Hongtao; Wang, Rui; Laporte, Gilbert - In: Computers & operations research : and their … 67 (2016), pp. 12-24

Persistent link: https://www.econbiz.de/10011440347

A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center

Lei, Hongtao; Wang, Rui; Zhang, Tao; Liu, Yajie; Zha, Yabing - In: Computers & operations research : and their … 75 (2016), pp. 103-117

Persistent link: https://www.econbiz.de/10011544980

The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

Wang, Rui; Purshouse, Robin C.; Giagkiozis, Ioannis; … - In: European Journal of Operational Research 243 (2015) 2, pp. 442-453

Various preference-based multi-objective evolutionary algorithms have been developed to help a decision-maker search for his/her preferred solutions to multi-objective problems. In most of the existing approaches the decision-maker preferences are formulated either by mathematical expressions...

Persistent link: https://www.econbiz.de/10011209367