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Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm

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Artificial Neural Nets and Genetic Algorithms

Abstract

The design of pressurised water reactor (PWR) reload cores is not only a formidable optimization problem but also in many instances a multiobjective problem. This paper describes a genetic algorithm (GA) designed to perform true multiobjective optimization on such problems.

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References

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© 1998 Springer-Verlag Wien

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Parks, G.T. (1998). Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_12

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  • DOI: https://doi.org/10.1007/978-3-7091-6492-1_12

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83087-1

  • Online ISBN: 978-3-7091-6492-1

  • eBook Packages: Springer Book Archive

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