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Materials and Manufacturing Processes Volume 20, 2005 - Issue 3
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Original Articles

Eliminating Forging Defects Using Genetic Algorithms

Carlos C. António DEMEGI, IDMEC, Faculdade de Engenharia da Universidade do Porto, Porto, PortugalCorrespondence[email protected]
,
Catarina F. Castro DEMEGI, IDMEC, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal
&
Luísa C. Sousa DEMEGI, IDMEC, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal
Pages 509-522 | Received 30 Mar 2004, Accepted 30 Jun 2004, Published online: 07 Feb 2007

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S Datta & P P Chattopadhyay. (2013) Soft computing techniques in advancement of structural metals. International Materials Reviews 58:8, pages 475-504.
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K. K. Pathak, Vikas S. Pagey & N. Ramakrishnan. (2010) Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria. Materials Science and Technology 26:6, pages 732-737.
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K. Mitra. (2008) Genetic algorithms in polymeric material production, design, processing and other applications: a review. International Materials Reviews 53:5, pages 275-297.
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N. Chakraborti. (2005) Genetic algorithms in these changing steel times. Ironmaking & Steelmaking 32:5, pages 401-404.
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Articles from other publishers (13)

O. Nejadseyfi, H. J. M. Geijselaers, E. H. Atzema, M. Abspoel & A. H. van den Boogaard. (2020) From specified product tolerance to acceptable material and process scatter: an inverse robust optimization approach. International Journal of Material Forming 13:3, pages 467-478.
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Tsung-Jung Hsieh. (2020) Data-driven oriented optimization of resource allocation in the forging process using Bi-objective Evolutionary Algorithm. Engineering Applications of Artificial Intelligence 89, pages 103469.
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Murat Ozturk, Sinem Kocaoglan & Fazil O. Sonmez. (2016) Concurrent design and process optimization of forging. Computers & Structures 167, pages 24-36.
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L. Sousa, C.F. Castro, C.C. António, H. de Sousa & R. Sousa. 2015. Eco-Efficient Masonry Bricks and Blocks. Eco-Efficient Masonry Bricks and Blocks 249 269 .
Fanjuan Meng, Carl Labergere, Pascal Lafon, Mathieu Duguy & Laurent Daniel. (2014) Multi-objective optimization based on meta-models of an aeronautical hub including the ductile damage constraint. International Journal of Damage Mechanics 23:8, pages 1055-1076.
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Peer Faßnacht, Matthias Meyer, Rouven Nickel & Bernd-Arno Behrens. (2012) Vorformoptimierung mittels Evolutionären Algorithmen. Zeitschrift für wirtschaftlichen Fabrikbetrieb 107:3, pages 133-138.
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Luisa Costa Sousa, Catarina F. Castro & Carlos Conceição António. 2012. Technologies for Medical Sciences. Technologies for Medical Sciences 67 86 .
Luísa C. Sousa, Catarina F. Castro, Carlos C. António & Hipólito Sousa. (2011) Topology optimisation of masonry units from the thermal point of view using a genetic algorithm. Construction and Building Materials 25:5, pages 2254-2262.
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AJAY KUMAR KAVITI, K. K. PATHAK & M. S. HORA. (2012) PREFORM MAP FOR UPSETTING ALUMINUM SPECIMENS AND ITS EXPERIMENTAL VERIFICATION. International Journal of Modeling, Simulation, and Scientific Computing 02:01, pages 67-81.
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K. K. Pathak, Ajay Kumar Kaviti & M. S. Hora. (2010) The application of neural networks in the preform design of the upsetting process. JOM 62:5, pages 55-59.
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Peer Faßnacht, Matthias Meyer, Rouven Nickel & Ludger Overmeyer. (2009) Algorithmische Vorformoptimierung. Zeitschrift für wirtschaftlichen Fabrikbetrieb 104:9, pages 768-774.
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Ajay Kumar Kaviti, K. K. Pathak & M. S. Hora. 2009. Pattern Recognition and Machine Intelligence. Pattern Recognition and Machine Intelligence 98 105 .
S. Tiwari & N. Chakraborti. (2006) Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms. Journal of Materials Processing Technology 173:3, pages 384-393.
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