The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0201464" target="_blank" >RIV/00216305:26210/26:0201464 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-90062-4_30" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-90062-4_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-90062-4_30" target="_blank" >10.1007/978-3-031-90062-4_30</a>

Result language
angličtina
Original language name
The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/GA24-12474S" target="_blank" >GA24-12474S: Benchmarking derivative-free global optimization methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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