Abstract The radiation shielding design for advanced nuclear facilities is a typical complicated multi-objective and multi-parameter optimization problem in the nuclear engineering. To obtain an optimal solution of the shielding design is of significance in developing high-performance advanced nuclear facilities, especially for compact and mobile devices. The classical method of shielding design is a brute force trial-and-error procedure subjecting to human preferences and expectations, which is of failure to meet the requirements in radiation shielding optimization applications. Two multi-objective optimization strategies were developed to optimize the shielding structures and materials aiming at lightweight, compactness and low radiation dose under a set of constraints. The strategies employed an evolutionary algorithm, genetic algorithm, to perform radiation shielding design optimization efficiently and automatically. The most advantage of the strategies is that multiple optimal shield solutions could be achieved in one single simulation run, which will make the radiation shielding design procedure more efficient and flexible. The strategies were verified fully with a realistic multi-objective radiation shielding design problem. The numerical results showed that the strategies could balance well the shielding quality against the weight and the volume of the shield. It is confirmed that the strategies are applicable and effective for multi-objective and multi-parameter radiation shielding design optimization applications.

中文翻译：

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基于遗传算法的辐射屏蔽设计多目标优化策略

摘要 先进核设施辐射屏蔽设计是核工程中典型的复杂多目标多参数优化问题。获得屏蔽设计的最优解对于开发高性能先进核设施，特别是紧凑型和移动设备具有重要意义。屏蔽设计的经典方法是一种受人类偏好和期望影响的蛮力试错程序，无法满足辐射屏蔽优化应用的要求。开发了两种多目标优化策略来优化屏蔽结构和材料，目标是在一组约束条件下实现轻量化、紧凑化和低辐射剂量。这些策略采用了进化算法、遗传算法、高效自动地进行辐射屏蔽设计优化。这些策略的最大优点是在一次模拟运行中可以实现多个最佳屏蔽解决方案，这将使辐射屏蔽设计过程更加高效和灵活。这些策略通过一个现实的多目标辐射屏蔽设计问题得到了充分验证。数值结果表明，该策略可以很好地平衡屏蔽质量与屏蔽重量和体积。证实了这些策略对于多目标和多参数辐射屏蔽设计优化应用是适用和有效的。这些策略的最大优点是在一次模拟运行中可以实现多个最佳屏蔽解决方案，这将使辐射屏蔽设计过程更加高效和灵活。这些策略通过一个现实的多目标辐射屏蔽设计问题得到了充分验证。数值结果表明，该策略可以很好地平衡屏蔽质量与屏蔽重量和体积。证实了这些策略对于多目标和多参数辐射屏蔽设计优化应用是适用和有效的。这些策略的最大优点是在一次模拟运行中可以实现多个最佳屏蔽解决方案，这将使辐射屏蔽设计过程更加高效和灵活。这些策略通过一个现实的多目标辐射屏蔽设计问题得到了充分验证。数值结果表明，该策略可以很好地平衡屏蔽质量与屏蔽重量和体积。证实了这些策略对于多目标和多参数辐射屏蔽设计优化应用是适用和有效的。数值结果表明，该策略可以很好地平衡屏蔽质量与屏蔽重量和体积。证实了这些策略对于多目标和多参数辐射屏蔽设计优化应用是适用和有效的。数值结果表明，该策略可以很好地平衡屏蔽质量与屏蔽重量和体积。证实了这些策略对于多目标和多参数辐射屏蔽设计优化应用是适用和有效的。