New genetic algorithms (GA) to optimize PWR reactors-Reference-Cited by-同舟云学术

New genetic algorithms (GA) to optimize PWR reactors

Published:2008-01 Issue:1 Volume:35 Page:113-120
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Alim Fatih,Ivanov Kostadin N.,Yilmaz Serkan,Levine Samuel H.

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference4 articles.

1. Alim, F., 2006. Heuristic Rules Embedded Genetic Algorithm for in-Core Fuel Management Optimization. Ph.D. Thesis in Nuclear Engineering. The Pennsylvania State University.

2. DeChaine, M., 1995. Stochastic Fuel Management Optimization Using Genetic Algorithms and Heuristic Rules, Ph.D. Thesis in Nuclear Engineering. The Pennsylvania State University.

3. Umbarger, J.A., DiGiovine, A.S., 1992. SIMULATE-3 User’s Manual. Studsvik of America Inc.

4. Yilmaz, S., 2005. Multilevel Optimization of Burnable Poison Utilization for Advanced PWR Fuel Management. Ph.D. Thesis in Nuclear Engineering. the Pennsylvania State University.

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