An Experimental Comparison of Different Heuristics for the Master Bay Plan Problem

Different heuristics for the problem of determining stowage plans for containerships, that is the so called Master Bay Plan Problem (MBPP), are compared. The first approach is a tabu search (TS) heuristic and it has been recently presented in literature. Two new solution procedures are proposed in this paper: a fast simple constructive loading heuristic (LH) and an ant colony optimization (ACO) algorithm. An extensive computational experimentation performed on both random and real size instances is reported and conclusions on the appropriateness of the tested approaches for the MBPP are drawn.

[1]  Akio Imai,et al.  The Containership Loading Problem , 2002 .

[2]  Thomas Stützle,et al.  The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances , 2003 .

[3]  Anna Sciomachen,et al.  Stowing a containership: the master bay plan problem , 2004 .

[4]  Stefan Voß,et al.  Container terminal operation and operations research — a classification and literature review , 2004 .

[5]  Mordecai Avriel,et al.  Container ship stowage problem: complexity and connection to the coloring of circle graphs , 2000, Discret. Appl. Math..

[6]  Anna Sciomachen,et al.  A new three-step heuristic for the Master Bay Plan Problem , 2009 .

[7]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[8]  Stefan Voß,et al.  Operations research at container terminals: a literature update , 2007, OR Spectr..

[9]  Chin-Sheng Chen,et al.  An analytical model for the container loading problem , 1995 .

[10]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..

[11]  Massimo Paolucci,et al.  A New Ant Colony Optimization Approach for the Single Machine Total Weighted Tardiness Scheduling Problem , 2008 .

[12]  M. J Dorfman,et al.  Scheduling trains on a railway network using a discrete event model of railway traffic , 2004 .

[13]  Anna Sciomachen,et al.  A decomposition heuristics for the container ship stowage problem , 2006, J. Heuristics.

[14]  Thomas Stützle,et al.  MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..