A new approach to the use of genetic algorithms to solve the pressurized water reactor's fuel management optimization problem
Author:
Publisher
Elsevier BV
Subject
Nuclear Energy and Engineering
Reference13 articles.
1. Bean, J.C., 1994. Genetic Algorithms and Random Keys for Sequencing and Optimization, vol. 6 (Number 2). ORSA.
2. The pseudo-harmonics perturbation method: Application to a PWR
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4. Nuclear fuel optimization using genetic algorithms;De Chaine;Nuclear Technology,1995
5. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison–Wesley, Reading, MA.
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