Practical genetic algorithms
A New Exact Algorithm for General Orthogonal D-Dimensional Knapsack Problems
ESA '97 Proceedings of the 5th Annual European Symposium on Algorithms
The Three-Dimensional Bin Packing Problem
Operations Research
A parallel tabu search algorithm for solving the container loading problem
Parallel Computing - Special issue: Parallel computing in logistics
Exact algorithms for unconstrained three-dimensional cutting problems: a comparative study
Computers and Operations Research
A GRASP Approach to the Container-Loading Problem
IEEE Intelligent Systems
A new heuristic algorithm for cuboids packing with no orientation constraints
Computers and Operations Research
Extreme Point-Based Heuristics for Three-Dimensional Bin Packing
INFORMS Journal on Computing
A Maximal-Space Algorithm for the Container Loading Problem
INFORMS Journal on Computing
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This paper presents a new hybrid genetic algorithm for solving the container loading problem in the general case, precisely when the boxes have no orientation constraints. In order to improve the genetic algorithm efficiency, we developed a hybrid method, based on deterministic approaches combining the wall-building, level-slice approach and strip packing. A serie of experiments was achieved on 47 related benchmarks from the OR-Library. We could reach an average utilization of 94.47% and an average computation time of 840s on a 1.7 GHz core duo.