Collaborative optimization for loading operation planning and vessel traffic scheduling in dry bulk ports

While loading operation planning and vessel traffic scheduling are still deemed as two independent operations in practice, it has been realised that their collaborative optimization coordination can improve port efficiency. It is because separate often result vessels spending more waiting time when passing through channels and/or longer at berth, hence seriously affect the productivity efficiency of ports. even worse case where multi-harbor basins share a restricted channel. Therefore, this paper aims to address (COLOPVTS) generate optimal scheme plan for each synchronously. Through analyzing process entering leaving dry bulk export ports, multi-objective mathematical model COLOPVTS proposed. Due complexity model, heuristic algorithm combining Variable Neighborhood Search (VNS) Non-dominated Sorting Genetic Algorithm II (NSGA-II) applied solve model. Finally, computational results on practical data Phase I terminals Huanghua coal analysed verify rationality effectiveness proposed algorithm.