Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods-Reference-Cited by-同舟云学术

Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods

Published:2018-09-26 Issue: Volume: Page:165-184
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Container-title:Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering
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Author:

de Moura Meneses Anderson Alvarenga,Araujo Lenilson Moreira,Nast Fernando Nogueira,da Silva Patrick Vasconcelos,Schirru Roberto

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-96433-1_8

Reference62 articles.

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3. Baluja, S.: Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Technical report, Carnegie Mellon University (1994)

4. Bean, J.C.: Genetic algorithms and random keys for sequencing and optimization. ORSA J. Comput. 6, 154–160 (1994)

5. Caldas, G.H.F., Schirru, R.: Parameterless evolutionary algorithm applied to the nuclear reload problem. Ann. Nucl. Energy 35, 583–590 (2008)

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