Skip to main content


Weitere Kapitel dieses Buchs durch Wischen aufrufen

2008 | OriginalPaper | Buchkapitel

An Evolutionary Algorithm for the Block Stacking Problem

verfasst von : Tim Hohm, Matthias Egli, Samuel Gaehwiler, Stefan Bleuler, Jonathan Feller, Damian Frick, Richard Huber, Mathias Karlsson, Reto Lingenhag, Thomas Ruetimann, Tom Sasse, Thomas Steiner, Janine Stocker, Eckart Zitzler

Erschienen in: Artificial Evolution

Verlag: Springer Berlin Heidelberg


How has a stack of


blocks to be arranged in order to maximize its overhang over a table edge while being stable? This question can be seen as an example application for applied statics and at the same time leads to a challenging optimization problem that was discussed recently in two theoretical studies.

Here, we address this problem by designing an evolutionary algorithm; the proposed method is applied to two instances of the block stacking problem, maximizing the overhang for 20 and 50 block stacks. The study demonstrates that the stacking problem is worthwhile to be investigated in the context of randomized search algorithms: it represents an abstract, but still demanding instance of many real-world applications. Furthermore, the proposed algorithm may become useful in empirically testing the tightness of theoretical upper bounds proposed for this problem.

An Evolutionary Algorithm for the Block Stacking Problem
verfasst von
Tim Hohm
Matthias Egli
Samuel Gaehwiler
Stefan Bleuler
Jonathan Feller
Damian Frick
Richard Huber
Mathias Karlsson
Reto Lingenhag
Thomas Ruetimann
Tom Sasse
Thomas Steiner
Janine Stocker
Eckart Zitzler
Springer Berlin Heidelberg

Premium Partner