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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

5) Saves materials and machining times by optimization algorithms<br />

6) Provides better functional analysis to reduce prototype testing<br />

7) FMS enables manufacturers to machine a wide variety <strong>of</strong> work pieces on few machines with low staffing<br />

levels and high degree <strong>of</strong> reliability.<br />

8) Lowers work in process inventories.<br />

9) Reduce scrap rate<br />

10) Reduction <strong>of</strong> floor space<br />

6. References<br />

[1]Banzhaf, Wolfgang; Nordin, Peter; Keller, Robert; Francone, Frank (<strong>19</strong>98) Genetic Programming – An<br />

Introduction, Morgan Kaufmann, San Francisco, CA.<br />

[2]Bies, Robert R; Muldoon, Matthew F; Pollock, Bruce G; Manuck, Steven; Smith, Gwenn and Sale, Mark<br />

E (<strong>20</strong>06). "A Genetic Algorithm-Based, Hybrid Machine Learning Approach to Model Selection". Journal <strong>of</strong><br />

Pharmacokinetics and Pharmacodynamics (Netherlands: Springer): <strong>19</strong>6–221.<br />

[3]Goldberg, David E (<strong>19</strong>89), Genetic Algorithms in Search, Optimization and Machine Learning, Kluwer<br />

Academic Publishers, Boston, MA.<br />

[4]Goldberg, David E (<strong>20</strong>02), The Design <strong>of</strong> Innovation: Lessons from and for Competent Genetic<br />

Algorithms, Addison-Wesley, Reading, MA.<br />

[5]Reintjes, J. Francis (<strong>19</strong>91), Numerical Control: Making a New <strong>Technology</strong>, Oxford <strong>University</strong> Press.<br />

[6]Siegel, Arnold. "Automatic Programming <strong>of</strong> Numerically Controlled Machine Tools", Control<br />

Engineering, Volume 3 Issue 10 (October <strong>19</strong>56), pp. 65–70.<br />

[7]Sorenti, P, "Efficient Robotic Welding in Shipyards – Virtual Reality Simulation Holds the Key",<br />

Industrial Robot, <strong>19</strong>97, 24(4), 278-281<br />

[8] Sivayoganathan K,et al., "Integration <strong>of</strong> CAD/CAM and <strong>of</strong>f-line Programming Systems", proceedings <strong>of</strong><br />

the 10th National Conference on Manufacturing Research, <strong>19</strong>94.<br />

[9]Thrun, Sebastian. "Robotic Mapping: A Survey." CMU-CS-02-111, February <strong>20</strong>02<br />

[10]R. Grabowski, L. Navarro-Serment, and P. Khosla. "An Army <strong>of</strong> Small Robots." SciAm Online May<br />

<strong>20</strong>04<br />

[11]Moravec, Hans. "Robots, After All." Communications <strong>of</strong> the ACM. October <strong>20</strong>03. Vol. 46, No. 10.<br />

[12]Neural Networks, vol. 13, no. 4-5, pp. 431-443, June <strong>20</strong>00.<br />

[13]“Fitness functions in evolutionary robotics: A survey and analysis,” Robotics and Autonomous<br />

Systems, vol. 57, no. 4, pp. 345-370, Apr. <strong>20</strong>09.<br />

[14]zykov-gecco-<strong>20</strong>04 V. Zykov, J. Bongard, H. Lipson, “Evolving dynamic gaits on a physical robot,” <strong>20</strong>04<br />

Genetic and Evolutionary Computation Conference (GECCO), Seattle, WA., <strong>20</strong>04.<br />

554

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