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Multi-objective Cross-Docking in Physical Internet Hubs Under Arrival Time Uncertainty.

, , , , , and . SOHOMA, volume 952 of Studies in Computational Intelligence, page 460-472. Springer, (2020)

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Dynamic Clustering of PI-Hubs Based on Forecasting Demand in Physical Internet Context., , , , and . SOHOMA, volume 853 of Studies in Computational Intelligence, page 27-39. Springer, (2019)The control of myopic behavior in semi-heterarchical production systems: A holonic framework., , , , , and . Eng. Appl. Artif. Intell., 26 (2): 800-817 (2013)A Simulated Annealing Metaheuristic for a Rail-Road PI-Hub Allocation Problem., , , and . Service Orientation in Holonic and Multi-agent Manufacturing, volume 594 of Studies in Computational Intelligence, Springer, (2015)FJS Problem Under Machine Breakdowns., , , and . IEA/AIE (1), volume 10350 of Lecture Notes in Computer Science, page 124-130. Springer, (2017)Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspective., , , , and . SOHOMA, volume 803 of Studies in Computational Intelligence, page 197-210. Springer, (2018)Hybrid PSO-tabu search for the optimal reactive power dispatch problem., , , and . IECON, page 3536-3542. IEEE, (2014)Device Context Classification for Mobile Power Consumption Reduction., , , and . DSD, page 682-685. IEEE Computer Society, (2016)Tabu Search Robustness for Cross-Dock and PI-Hub Scheduling Under Possible Internal Transportation Breakdowns., , , and . SOHOMA, volume 803 of Studies in Computational Intelligence, page 295-307. Springer, (2018)An equivalent conversion method for dual-armed multi-cluster tool scheduling problems with multi-wafer types., , , , and . Int. J. Manuf. Technol. Manag., 33 (1/2): 14-36 (2019)A two-stage flow shop scheduling problem with transportation considerations., , , , and . 4OR, 13 (4): 381-402 (2015)