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Identification of uncertain nonlinear systems: Constructing belief rule-based models.

, , , , and . Knowl.-Based Syst., (2015)

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Identification of uncertain nonlinear systems: Constructing belief rule-based models., , , , and . Knowl.-Based Syst., (2015)A method of solving a large-scale rolling batch scheduling problem in steel production using a variant of column generation., and . Computers & Industrial Engineering, 56 (1): 165-178 (2009)A Heterogeneous Multi-Agent System Model With Navigational Feedback for Load Demand Management of a Zonal Medium Voltage DC Shipboard Power System., , , and . IEEE Access, (2019)Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm., , and . BIC-TA, page 1189-1193. IEEE, (2010)A data-driven approximate causal inference model using the evidential reasoning rule., , , , , and . Knowl.-Based Syst., (2015)Reliability Evaluation of a Zonal Shipboard Power System Based on Minimal Cut Set., , , , and . ICSI (2), volume 9713 of Lecture Notes in Computer Science, page 563-572. Springer, (2016)An Approach Based on Evaluation Particle Swarm Optimization Algorithm for 2D Irregular Cutting Stock Problem., , and . ICSI (1), volume 7928 of Lecture Notes in Computer Science, page 168-175. Springer, (2013)Development of hybrid evolutionary algorithms for production scheduling of hot strip mill., , , , and . Computers & OR, 39 (2): 339-349 (2012)A Review of the Application of Swarm Intelligence Algorithms to 2D Cutting and Packing Problem., , , and . ICSI (1), volume 6728 of Lecture Notes in Computer Science, page 64-70. Springer, (2011)A model induced max-min ant colony optimization for asymmetric traveling salesman problem., , , , and . Appl. Soft Comput., 13 (3): 1365-1375 (2013)