SIAM Journal on Computing
Exact Solution of the Two-Dimensional Finite Bon Packing Problem
Management Science
Tabu Search
Grasp and Path Relinking for 2-Layer Straight Line Crossing Minimization
INFORMS Journal on Computing
The Three-Dimensional Bin Packing Problem
Operations Research
Reactive GRASP: An Application to a Matrix Decomposition Problem in TDMA Traffic Assignment
INFORMS Journal on Computing
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
A Hybrid Heuristic for the p-Median Problem
Journal of Heuristics
A General Purpose Algorithm for Three-Dimensional Packing
INFORMS Journal on Computing
Solving the variable size bin packing problem with discretized formulations
Computers and Operations Research
An APTAS for Generalized Cost Variable-Sized Bin Packing
SIAM Journal on Computing
GRASP and path relinking for the max-min diversity problem
Computers and Operations Research
Decision support for packing in warehouses
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
The two-dimensional bin packing problem with variable bin sizes and costs
Discrete Optimization
A probabilistic heuristic for a computationally difficult set covering problem
Operations Research Letters
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The three-dimensional multiple bin-size bin packing problem, MBSBPP, is the problem of packing a set of boxes into a set of bins when several types of bins of different sizes and costs are available and the objective is to minimize the total cost of bins used for packing the boxes. First we propose a GRASP algorithm, including a constructive procedure, a postprocessing phase and some improvement moves. The best solutions obtained are then combined into a Path Relinking procedure for which we have developed three versions: static, dynamic and evolutionary. An extensive computational study, using two- and three-dimensional instances, shows the relative efficiency of the alternatives considered for each phase of the algorithm and the good performance of our algorithm compared with previously reported results.