In this study we address the complex practical problem of multiple heterogeneous container loading with a simple genetic algorithm. We demonstrate that with a well-chosen representation including a heuristic and a suitable fitness function the other aspects of the genetic algorithm do not need extensive work for good results. Following systematic study of our method on synthetically generated data, we visually showcase the solution for a company-based problem instance.
The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm / Rusin, F., Fiala, J., Sanker, J., Bhattarai, S., Ekárt, A.. - (2025), pp. 482-495. (European Conference on the Applications of Evolutionary and bio-inspired Computation (part of EvoStar) Trieste, Italy 23-25/04/2025) [10.1007/978-3-031-90062-4_30].
The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
Francesco Rusin
Primo
;
2025-01-01
Abstract
In this study we address the complex practical problem of multiple heterogeneous container loading with a simple genetic algorithm. We demonstrate that with a well-chosen representation including a heuristic and a suitable fitness function the other aspects of the genetic algorithm do not need extensive work for good results. Following systematic study of our method on synthetically generated data, we visually showcase the solution for a company-based problem instance.Pubblicazioni consigliate
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