참고문헌
- S. Kashi, A. Minuchehr, N. Poursalehi, A. Zolfaghari, Bat algorithm for the fuel arrangement optimization of reactor core, Ann. Nucl. Eng. 64 (2014) 144-151. https://doi.org/10.1016/j.anucene.2013.09.044
- T.J. Rogers, PWR Fuel Assembly Optimization Using Adaptive Simulated Annealing Coupled with TRANSLAT, a thesis submitted to the office of graduate studies of Texas A&M University in partial fulfillment of the requirements for the degree of Master of Science, 2008.
- S. Yilmaz, K. Ivanov, S. Levine, M. Mahgerefteh, Application of genetic algorithms to optimize burnable poison placement in pressurizedwater reactors,Ann.Nucl. Energy 33 (2006) 446-456. https://doi.org/10.1016/j.anucene.2005.11.012
- T. Rogers, J. Ragusa, S. Schultz, R. Clair, Optimization of PWR fuel assembly radial enrichment and burnable poison location based on adaptive simulated annealing, Nucl. Sci. Eng. 239 (2009) 1019-1029. https://doi.org/10.1016/j.nucengdes.2009.02.005
- F. Alim, K. Ivanov, S.H. Levine, New genetic algorithms (GA) to optimize PWR reactors part I: loading pattern and burnable poison placement optimization techniques for PWRs, Ann. Nucl. Energy 35 (2008) 93-112. https://doi.org/10.1016/j.anucene.2007.05.007
- E. Zitzler, Evolutionary Algorithms for Multi-objective Optimization: Methods and Applications, a dissertation submitted to the Swiss Federal Institute of Technology Zurich for the degree of Doctor of Technical Sciences, 1999.
- D.W. Corne, J.D. Knowles, M.J. Oates, The Pareto Envelope-based Selection Algorithm for Multi-objective Optimization, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2000, pp. 839-848.
- A. Jaszkiewicz, On the performance of multiple objective genetic local search on the knapsack problem. A comparative experiment, Technical Report RA-002/2000, Institute of Computing Science, Pozna University of Technology, Pozna, 2000.
- E. Zitzler, K. Deb, L. Thiele, Comparison of multi-objective evolutionary algorithms: empirical results, Evol. Comput. 8 (2000) 173-195. https://doi.org/10.1162/106365600568202
- E. Zitzler, M. Laumanns, L. Thiele, SPEA2: Improving the strength Pareto evolutionary algorithm, TIK-Report 103, Computer Engineering and Networks Laboratory (TIK), Department of Electrical Engineering, Swiss Federal Institute of Technology (ETH), Zurich ETH Zentrum, Zurich, 2001.
- N. Poursalehi, A. Zolfaghari, A. Minuchehr, Performance comparison of zeroth order nodal expansion methods in 3D rectangular geometry, Nucl. Eng. Des. 252 (2012) 248-266. https://doi.org/10.1016/j.nucengdes.2012.04.026
- N. Poursalehi, A. Zolfaghari, A. Minuchehr, Development of a high order and multi-dimensional nodal code, ACNEC3D, for reactor core analysis, Ann. Nucl. Energy 55 (2013) 211-224. https://doi.org/10.1016/j.anucene.2012.10.022
- E. Zitzler, L. Thiele, Multi-objective evolutionary algorithms: a comparative case study and the strength Pareto approach, IEEE Trans. Evol. Comput. 3 (1999) 257-271. https://doi.org/10.1109/4235.797969
- S. Potti, C. Chinnasamy, Strength Pareto evolutionary algorithm based multi-objective optimization for shortest path routing problem in computer networks, J. Comput. Sci. 7 (2011) 17-26. https://doi.org/10.3844/jcssp.2011.17.26
- W. Sheng, Y. Liu, X. Meng, T. Zhang, An improved strength Pareto evolutionary algorithm 2 with application to the optimization of distributed generations, Comput. Math. Appl. 64 (2012) 944-955. https://doi.org/10.1016/j.camwa.2012.01.063
- C. Wang, Y. Huang, Self-adaptive harmony search algorithm for optimization, Exp. Sys. Appl. 37 (2010) 2826-2837. https://doi.org/10.1016/j.eswa.2009.09.008
- N. Poursalehi, A. Zolfaghari, A. Minuchehr, Differential harmony search algorithm to optimize PWRs loading pattern, Nucl. Eng. Des. 257 (2013) 161-174. https://doi.org/10.1016/j.nucengdes.2013.01.020
- N. Poursalehi, A. Zolfaghari, A. Minuchehr, K. Valavi, Self-adaptive global best harmony search algorithm applied to reactor core fuel management optimization, Ann. Nucl. Energy 62 (2013) 86-102. https://doi.org/10.1016/j.anucene.2013.06.003
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