Parallel Adaptive Evolutionary Algorithms for Pressurized Water Reactor Reload Pattern Optimizations-Reference-Cited by-同舟云学术

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Parallel Adaptive Evolutionary Algorithms for Pressurized Water Reactor Reload Pattern Optimizations

Published:1997-09 Issue:3 Volume:119 Page:276-291
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Axmann Joachim K.¹

Affiliation:

1. Scandpower GmbH, Flotowstrasse 41-43 D-22083 Hamburg, Germany

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.13182/NT97-A35403

Reference26 articles.

1. A Simplex Method for Function Minimization

2. Optimization of Core Reload Design for Low-Leakage Fuel Management in Pressurized Water Reactors

3. Determination of Optimum Fuel Loadings in Pressurized Water Reactors Using Dynamic Programming

4. E. WÖRSDÖRFER, “Systematical Optimizations of BWR Reload Plans by Help of an Expert System,” PhD Thesis, University of Karlsruhe (1990).

5. In-Core Fuel Management Optimization by Heuristic Learning Technique

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1. Success-history based adaptive differential evolution method for optimizing fuel loading pattern of VVER-1000 reactor;Nuclear Engineering and Design;2021-06

2. Evolutionary simulated annealing for fuel loading optimization of VVER-1000 reactor;Annals of Nuclear Energy;2021-02

3. A new hybrid method for multi-objective fuel management optimization using parallel PSO-SA;Progress in Nuclear Energy;2014-09

4. Automated Core Design;Nuclear Technology;2005-07

5. Application of Neural Network for Loading Pattern Screening of In-Core Optimization Calculations;Nuclear Technology;2003-10

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