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Engineering Optimization Volume 35, 2003 - Issue 6
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Original Articles

Rolling element bearing design through genetic algorithms

Indraneel Chakraborty* Indian Institute of Technology Guwahati, Department of Computer Science & Engineering, North Guwahati, Guwahati, 781039, Assam, India;
,
Vinay Kumar† Indian Institute of Technology Guwahati, Department of Computer Science & Engineering, North Guwahati, Guwahati, 781039, Assam, India;
,
Shivashankar B. Nair Indian Institute of Technology Guwahati, Department of Computer Science & Engineering, North Guwahati, Guwahati, 781039, Assam, India;
&
Rajiv Tiwari Indian Institute of Technology Guwahati, Department of Mechanical Engineering, North Guwahati, Guwahati, 781039, Assam, IndiaCorrespondence[email protected]
Pages 649-659 | Received 17 Aug 2002, Accepted 12 Aug 2003, Published online: 12 May 2010

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Shashikant Kumar Verma & Rajiv Tiwari. (2021) Robust design of ball bearings for an improved performance using genetic algorithm. International Journal for Computational Methods in Engineering Science and Mechanics 22:6, pages 514-537.
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Rajiv Tiwari & Vikas Waghole. (2015) Optimization of Spherical Roller Bearing Design Using Artificial Bee Colony Algorithm and Grid Search Method. International Journal for Computational Methods in Engineering Science and Mechanics 16:4, pages 221-233.
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K. Sunil Kumar, Rajiv Tiwari & R.S. Reddy. (2008) Development of an Optimum Design Methodology of Cylindrical Roller Bearings Using Genetic Algorithms. International Journal for Computational Methods in Engineering Science and Mechanics 9:6, pages 321-341.
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JaguS. Rao & Rajiv Tiwari. (2008) Optimum Design and Analysis of Thrust Magnetic Bearings Using Multi Objective Genetic Algorithms. International Journal for Computational Methods in Engineering Science and Mechanics 9:4, pages 223-245.
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