Outperforming Genetic Algorithm with a Brute Force Approach Based on Activity-Oriented Petri Nets-Reference-Cited by-同舟云学术

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Outperforming Genetic Algorithm with a Brute Force Approach Based on Activity-Oriented Petri Nets

Published:2016-10-01 Issue: Volume: Page:454-463
ISSN:2194-5357
Container-title:International Joint Conference SOCO’16-CISIS’16-ICEUTE’16
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Author:

Davidrajuh Reggie

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-47364-2_44

Reference11 articles.

1. Neapolitan, R.: Foundations of Algorithms. Jones & Bartlett, Burlington (2015)

2. Sivanandam, S.N., Deepa, S.N.: Introduction of Genetic Algorithms. Springer, Heidelberg (2008)

3. Mathworks. MATLAB User Manual, Global Optimization Toolbox (2015)

4. Wall, M.B.: A Genetic Algorithm for Resource-Constrained Scheduling. Ph.D. Thesis, MIT (1996)

5. Falkenauer, E., Bouffouix, S.: A genetic algorithm for job shop. In: IEEE International Conference on Robotics and Automation (1991)

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