ID	原文	译文
1563	实验表明，所提模型能够更有效地模拟人眼注视点分布，具有良好的适用性。	And these two processes can be switched through a certain judgment rule.
1564	现有的波达方向(Direction of Arrival，DOA)估计方法大多依赖于阵列导向矩阵的精确无偏条件，	Experimental re-sults show that the proposed model can more effectively simulate the human eye gaze point distribution, resulting in better performance.
1565	而实际工程中由于时钟偏移、阵元位置偏差的存在导致该条件往往难以满足。	Most of the current direction of arrival estimation (DOA)methods are proposed based on the unbiased knowledge of the array manifold, which may not be guaranteed in some practical applications, since the clock drifting andsensor position uncertainties always exist.
1566	为匹配阵列实际接收条件，本文基于部分校准嵌套阵列，提出了一种增益相位误差下的 DOA 估计新方法。	To match the actual array reception condition, a DOA estimation method that usespartly calibrated nested array is presented.
1567	该方法首先利用连乘子函数和简单的代数运算完成初始增益相位误差估计，然后通过协方差矩阵向量化和稀疏表示理论构建具有连续自由度的稀疏表示向量模型，	The proposed method completes the array gain-phase errors estimation by exploi-ting the continuous multiplication operator and simple algebraic operation, and then constructs a sparse vector model via vec-torization operation on array covariance matrix in sparse representation framework, which owes consecutive degrees of free-dom.
1568	最后考虑有效样本的影响，在初始增益相位误差估计的基础上应用稀疏总体最小均方(Sparse total least squares，STLS)算法完成波达方向估计。	Finally, the influence of the finite number of samples is considered, and the DOAs are successively estimated by apply-ing sparse total squares (STLS)algorithm based on the estimated result of gain-phase errors.
1569	本文所提方法不仅对阵列增益相位误差不敏感，而且可依靠嵌套阵列高自由度特性和 STLS 算法的抗扰动特性获得改进的分辨率和估计精度，计算机仿真结果验证了所提算法的有效性。	The proposed method not onlyperforms independent of gain-phase errors, but also can provide improved resolution and estimation accuracy, by dependingon the high DOFs provided by nested array and anti-disturbance characteristics of STLS algorithm. Simulation results validatethe effectiveness of the proposed method.
1570	带容量约束的车辆路径问题是 NP 难的组合优化问题，精确算法无法在合理的时间内得到有效的解。	Capacitated vehicle routing problem (CVRP)is an NP-hard combinatorial optimization problem. ManyCVRP instances cannot be solved by the exact algorithms in a reasonable time.
1571	本文提出了一种采用灰狼空间整数编码和先路由后分组解决方案生成策略的自适应遗传灰狼优化算法用于求解带容量约束的车辆路径问题。	This paper presents an adaptive genetic greywolf optimizer algorithm (AGGWOA), which implements grey wolf space integer coding and route-first cluster-second solu-tion generation strategy, to solve the capacitated vehicle routing problem.
1572	该算法提出了移动平均自适应灰狼更新策略和灰狼基因遗传策略提高全局收敛能力，同时提出带 3-opt 的劣势点启发邻域搜索策略来增强算法的全局和局部搜索能力。	The AGGWOA proposes the adaptive update strategyon moving average and grey wolf genetic operation that improve the global convergence of the algorithm. To enhance the glob-al search ability and the local search ability of the algorithm, the AGGWOA proposes the inferior-node heuristic neighborhoodsearch strategy, which implements the 3-opt local search operation.