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Bat algorithm for the fuel arrangement optimization of reactor core

机译:Bat算法用于反应堆堆芯燃料布置优化

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摘要

In this paper, we develop a novel optimization algorithm, Bat Algorithm (BA), in order to implement in the Loading Pattern Optimization (LPO) of nuclear reactor core. For performing the fuel management optimization, we define a fitness function considering the multiplication factor maximizing and power peaking factor minimizing objectives simultaneously. For this purpose, we prepared a computer program i.e. Bat Algorithm Nodal Expansion Code (BANEC) in order to gain the possible maximum fitness value for the LPO operation. Fuel arrangement optimization using BANEC has been performed for two PWR test cases including KWU and BIBLIS reactors. Numerical results of BANEC confirm that the BA has a great strength to obtain a semioptimized core pattern as respect to considered objective functions during suitable consuming run time. At last, the results show that BA is a very promising algorithm for LPO problems and has the potential to use in other nuclear engineering optimization problems.
机译:在本文中,我们开发了一种新颖的优化算法,蝙蝠算法(BA),以便在核反应堆堆芯的加载模式优化(LPO)中实施。为了执行燃料管理优化,我们同时考虑最大化乘数因子和最小化功率峰值因子的目标来定义适应度函数。为此,我们准备了一个计算机程序,即蝙蝠算法节点扩展码(BANEC),以获取LPO操作可能的最大适应度值。已经针对包括KWU和BIBLIS反应堆在内的两个PWR测试案例进行了使用BANEC的燃料布置优化。 BANEC的数值结果证实,在适当的消耗运行时间内,BA具有强大的强度来获得考虑到的目标函数的半优化核心模式。最后,结果表明BA是解决LPO问题的非常有前途的算法,并且有可能用于其他核工程优化问题。

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