Robotic Assembly Sequence Generation Using Improved Fruit Fly Algorithm-Reference-Cited by-同舟云学术

Robotic Assembly Sequence Generation Using Improved Fruit Fly Algorithm

Published:2020 Issue: Volume: Page:239-247
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
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Author:

Murali Gunji Bala,Deepak B. B. V. L.,Biswal Bibhuti Bhusan,Karun Kumar Y.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1307-7_26

Reference8 articles.

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2. Wilson, R.H., Latombe, J.C.: Geometric reasoning about mechanical assembly. Artif. Intell. 71(2), 371–396 (1994)

3. Wong, H., Leu, M.C.: Adaptive genetic algorithm for optimal printed circuit board assembly planning. CIRP Ann. Manuf. Technol. 42(1), 17–20 (1993)

4. Bonneville, F., Perrard, C.. Henrioud, J.M.: A genetic algorithm to generate and evaluate assembly plans. in emerging technologies and factory automation, vol. 2. In: ETFA’95, Proceedings.,. INRIA/IEEE Symposium (1995) pp. 231–239

5. Failli, F., Dini, G.: Ant colony systems in assembly planning: a new approach to sequence detection and optimization. In: 2nd CIRP International Seminar on Intelligent Computation in Manufacturing Engineering-ICME vol. 1. Capri, Italy (2000) pp. 227–232

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