A parallel multi-population biased random-key genetic algorithm for a container loading problem

This paper presents a multi-population biased random-key genetic algorithm (BRKGA) for the single container loading problem (3D-CLP) where several rectangular boxes of different sizes are loaded into a single rectangular container. The approach uses a maximal-space representation to manage the free...

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Veröffentlicht in:	Computers & operations research 2012-02, Vol.39 (2), p.179-190
Hauptverfasser:	Gonçalves, José Fernando, Resende, Mauricio G.C.
Format:	Artikel
Sprache:	eng
Schlagworte:	3D packing Algorithms Applied sciences Container loading Containers Exact sciences and technology Flows in networks. Combinatorial problems Genetic algorithm Genetic algorithms Joining Keys Multi-population Operational research and scientific management Operational research. Management science Operations research Placement Random keys Representations
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