Co-scheduling of lock and water-land transshipment for ships passing the dam

Display Omitted A co-scheduling model of lock and water-land transshipment mixed transport system is built.Genetic operators based artificial bee colony is proposed to solve the co-scheduling model.Width sorting fast dispatch and first-come-first-served strategy are used to solve lock schedule.The proposed model is tested by co-scheduling system of Three Gorges dam.Comparative studies show that the proposed method is effective for solving co-scheduling model. In this paper, we take the water-land transshipment as new efficient way to share the pressure of the lock for ships passing a dam. A co-scheduling model of a single lock and different kinds of water-land transshipment docks mixed transportation system for ships passing a dam is established. The model is divided into two layers, in which the outer layer refers to the decision of the ships between the lock mode and the water-land transshipment mode. The inner layer concerns the lock scheduling for ships which choose to pass the dam through lock and the berth scheduling for the others that select the water-land transshipment mode. A genetic operators based artificial bee colony (GB-ABC) algorithm is utilized to optimize the combinatorial problem in the outer layer. The berth scheduling sub-problem in the inner layer is identified as the identical parallel machine scheduling problem which is solved by first-come-first-served (FCFS) strategy. The lock scheduling sub-problem is solved by a method which takes into account both fairness of the ships and efficiency of the lock. The experiments show that an appropriate coordination between the lock and the water-land transshipment docks can help to decrease the waiting time of the ships and relief the congestion of the water traffic around the dam especially when the throughput capacity of the lock is insufficient.

[1]  L. Douglas Smith,et al.  Investigating Strategic Alternatives for Improving Service in an Inland Waterway Transportation System , 2010, Int. J. Strateg. Decis. Sci..

[2]  L. Douglas Smith,et al.  Decision Tools for Reducing Congestion at Locks on the Upper Mississippi River , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[3]  J. Magalhães-Mendes,et al.  A Comparative Study of Crossover Operators for Genetic Algorithms to Solve the Job Shop Scheduling Problem , 2013 .

[4]  Xiaohui Yuan,et al.  The rolling horizon procedure on deterministic lockage co-scheduling to the two dams of the Three Gorges Project , 2010, Kybernetes.

[5]  L. Douglas Smith,et al.  A Robust Strategy for Managing Congestion at Locks on the Upper Mississippi River , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[6]  Greet Van den Berghe,et al.  A Late Acceptance Algorithm for the Lock Scheduling Problem , 2009 .

[7]  Ranjit Roy,et al.  Gbest guided artificial bee colony algorithm for environmental/economic dispatch considering wind power , 2013, Expert Syst. Appl..

[8]  Xiaopan Zhang,et al.  Series queuing network scheduling approach to co-scheduling model of three Gorges-Gezhou dam , 2010, J. Syst. Sci. Complex..

[9]  Xiaohui Yuan,et al.  Design of a fractional order PID controller for hydraulic turbine regulating system using chaotic non-dominated sorting genetic algorithm II , 2014 .

[10]  Ali Husseinzadeh Kashan,et al.  DisABC: A new artificial bee colony algorithm for binary optimization , 2012, Appl. Soft Comput..

[11]  Yuehua Huang,et al.  A new quantum inspired chaotic artificial bee colony algorithm for optimal power flow problem , 2015 .

[12]  Robert M. Nauss,et al.  Optimal sequencing in the presence of setup times for tow/barge traffic through a river lock , 2008, Eur. J. Oper. Res..

[13]  L. Douglas Smith,et al.  A Simulation Model to Evaluate Decision Rules for Lock Operations on the Upper Mississippi River , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[14]  Yanbin Yuan,et al.  Improved hybrid simulated annealing algorithm for navigation scheduling for the two dams of the Three Gorges Project , 2008, Comput. Math. Appl..

[15]  Jan Fabian Ehmke,et al.  Scheduling operations at system choke points with sequence-dependent delays and processing times , 2011 .

[16]  Hao Tian,et al.  Improved gravitational search algorithm for unit commitment considering uncertainty of wind power , 2014, Energy.

[17]  Xiaohui Yuan,et al.  Co-Evolutionary Strategy Algorithm to the Lockage Scheduling of the Three Gorges Project , 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

[18]  Patrick De Causmaecker,et al.  A Combinatorial Benders' decomposition for the lock scheduling problem , 2015, Comput. Oper. Res..

[19]  Patrick De Causmaecker,et al.  Scheduling algorithms for the lock scheduling problem , 2011 .

[20]  Hao Tian,et al.  A new approach for unit commitment problem via binary gravitational search algorithm , 2014, Appl. Soft Comput..

[21]  Yanbin Yuan,et al.  An efficient chaos embedded hybrid approach for hydro-thermal unit commitment problem , 2015 .

[22]  Xiaohui Yuan,et al.  Multi-objective optimization of short-term hydrothermal scheduling using non-dominated sorting gravitational search algorithm with chaotic mutation , 2014 .

[23]  Frits C. R. Spieksma,et al.  The generalized lock scheduling problem: An exact approach , 2014 .

[24]  Frits C. R. Spieksma,et al.  Exact and heuristic methods for placing ships in locks , 2014, Eur. J. Oper. Res..

[25]  Xiaoping Wang,et al.  Genetic Algorithm and Tabu Search Hybrid Algorithm to Co-scheduling Model of Three Gorges-Gezhou Dam , 2009, ISNN.

[26]  Alper Ekrem Murat,et al.  A discrete particle swarm optimization method for feature selection in binary classification problems , 2010, Eur. J. Oper. Res..

[27]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[28]  Dervis Karaboga,et al.  A novel binary artificial bee colony algorithm based on genetic operators , 2015, Inf. Sci..