Optimisation of a multi-objective two-dimensional strip packing problem based on evolutionary algorithms

DOI10.1080/00207540902729926zbMath1197.90322OpenAlexW2149918793MaRDI QIDQ3163365

Coromoto León, Gara Miranda, Carlos Segura, Jesica De Armas

Publication date: 25 October 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540902729926

zbMATH Keywords

evolutionary algorithmspacking problemscutting stock problemsPareto optimisation

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Combinatorial optimization (90C27)

Related Items (3)

The rectangular two-dimensional strip packing problem real-life practical constraints: a bibliometric overview ⋮ A multi-objective genetic algorithm for a special type of 2D orthogonal packing problems ⋮ Order and static stability into the strip packing problem

Uses Software

• SPEA2

Cites Work

• Packing problems
• A review of the application of meta-heuristic algorithms to 2D strip packing problems
• A typology of cutting and packing problems
• Two-dimensional packing problems: a survey
• An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem
• A genetic algorithm for the two-dimensional strip packing problem with rectangular pieces
• Multi-objective optimization of manufacturing cell design
• Dynamic analysis on optimal placement of fixturing elements using evolutionary techniques
• Multi-objective balancing of assembly lines by population heuristics
• An approach to two-dimensional cutting stock problems
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Data set generation for rectangular placement problems

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