A Particle Swarm Optimization Algorithm for a 2-D Irregular Strip Packing Problem

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American Journal of Operations Research

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.org/journal/ajor
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"A Particle Swarm Optimization Algorithm for a 2-D Irregular Strip Packing Problem"
written by Mohamed A. Shalaby, Mohamed Kashkoush,
published by American Journal of Operations Research, Vol.3 No.2, 2013

has been cited by the following article(s):

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[3]	Marker planning problem in the apparel industry: Hybrid PSO-based heuristics
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[4]	Introduction to the Packing and Cutting Problem
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[7]	Two-dimensional irregular packing problems: A review
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[8]	Hybrid Heuristics for Marker Planning in the Apparel Industry
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[9]	Algorithms for Geometric Optimization and Enrichment in Industrialized Building Construction
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[10]	Topology optimization of architectural panels to minimize waste during fabrication: algorithms for panel unfolding and nesting
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[11]	Resource efficiency enhancement in sheet metal cutting industrial networks through cloud manufacturing
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[12]	Evolutionary hyper-heuristic for solving the strip-packing problem
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[13]	Towards sustainable construction: BIM-enabled design and planning of roof sheathing installation for prefabricated buildings
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[14]	Irregular Packing Based on Principal Component Analysis Methodology
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[15]	Hyper-Heuristic Approach for Improving Marker Efficiency
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[16]	Practical Algorithms for Two-Dimensional Packing of General Shapes
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[17]	Computer-based Methods for Packaging Problems
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[18]	Implementation of Bat Algorithm on 2D Strip Packing Problem
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[19]	Bottom-Left and Sequence Pair for Solving Packing Problems
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[20]	A flexible labour division approach to the polygon packing problem based on space allocation
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[21]	Računalne metode prikladne za rješavanje problema pakiranja pri uklapanju krojnih slika
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[22]	Računalne metode prikladne za rješavanje problema pakiranja pri uklapanju krojnih slika.
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[23]	Solving strip-packing problem using sequence pair
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[26]	A Study on Factors Affecting the Non Guillotine Based Nesting Process Optimization
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[28]	Pregled metoda za rješavanje 2-D problema pakiranja
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[29]	Problemas de empacotamento com itens irregulares: heurísticas e avaliação de construtores de NFP
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[1]	A BIASED RANDOM-KEY GENETIC ALGORITHM FOR THE 2D STRIP PACKING PROBLEM WITH ORDER AND STABILITY CONSTRAINTS Pesquisa Operacional, 2024 DOI:10.1590/0101-7438.2023.043.00284365

[2]	An approach to apply the Jaya optimization algorithm to the nesting of irregular patterns Journal of Computational Design and Engineering, 2024 DOI:10.1093/jcde/qwae093

[3]	Two-dimensional irregular packing problems: A review Frontiers in Mechanical Engineering, 2022 DOI:10.3389/fmech.2022.966691

[4]	Resource efficiency enhancement in sheet metal cutting industrial networks through cloud manufacturing The International Journal of Advanced Manufacturing Technology, 2020 DOI:10.1007/s00170-020-05083-6

[5]	Evolutionary hyper-heuristic for solving the strip-packing problem The Journal of The Textile Institute, 2019 DOI:10.1080/00405000.2018.1550136

[6]	Hyper-Heuristic Approach for Improving Marker Efficiency Autex Research Journal, 2018 DOI:10.1515/aut-2018-0026

[7]	Irregular Packing Based on Principal Component Analysis Methodology IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2876546

[8]	Hyper-Heuristic Approach for Improving Marker Efficiency Autex Research Journal, 2018 DOI:10.1515/aut-2018-0026

[9]	A flexible labour division approach to the polygon packing problem based on space allocation International Journal of Production Research, 2017 DOI:10.1080/00207543.2016.1229070

[10]	Bottom-left and sequence pair for solving packing problems 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016 DOI:10.1109/MIPRO.2016.7522344

[11]	Intelligent and Evolutionary Systems Proceedings in Adaptation, Learning and Optimization, 2016 DOI:10.1007/978-3-319-27000-5_17

[12]	Solving strip-packing problem using sequence pair 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 DOI:10.1109/MIPRO.2015.7160455

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