Question

请大家帮忙翻译一下这段，不要翻译器的啊，谢谢

配电系统开关的优化配置问题本质上是一个计及可靠性约束的0-1整数规划问题，常以成本效益分析为基础，将设备投资和减少停电损失获得的经济效益综合形成目标函数，建立模型。该模型属非线性、不可微、连续－离散混合的组合优化问题。同时，目标函数不易用决策变量解析表达，其计算复杂性大，属组合优化难题。目前的求解方法有很多，例如：直接计算法、馈线的简单分段法、启发式方法、Bellmann方法、人工智能算法。现在比较常用的是人工智能算法，主要包括模拟退火、遗传算法、免疫算法、禁忌搜索算法、粒子群算法等，这些算法还在一定程度上存在着不足。比如，由于遗传算法本身的性能特征的缺陷，使得遗传算法其解决实际问题时，易陷入局部最优解。粒子群算法则需要经过比较多的循环次数后才能收敛到全局最优。在上述各种随机优化算法中，由于受到维数的限制，在配电系统开关优化过程中每一个开关位置对应一个变量，状态数量多，所以容易导致搜索效率低下。要想更加合理地应用到实际问题中来，必须找到一个既准确又高效的求解方法。通过综合考虑可靠性与经济性的协调，研究开关的优化配置方案的选择范围；针对配电系统的供电可用率概率指标已知的条件下，求解最优方案，以达到实用有效的目的。
翻译成英文囧

Answer 1

The optimal allocation of distribution system switches on the nature of the problem is a design and reliability constraints of 0-1 integer programming problems, often based on cost-benefit analysis, the investment in equipment to reduce power losses and overall efficiency obtained by the formation of the objective function, the establishment of model. The model is a nonlinear, non-differentiable, continuous - discrete mixed combinatorial optimization problems. Meanwhile, the decision variables the objective function is not easy to resolve with the expression of its large computational complexity, is a combinatorial optimization problem. There are many ways to solve the current, such as: direct calculation, sub-feeder the simple method, heuristic methods, Bellmann methods, artificial intelligence algorithms. Now more commonly used artificial intelligence algorithms, including simulated annealing, genetic algorithm, immune algorithm, tabu search algorithms, particle swarm algorithm, these algorithms are still to some extent, there is still insufficient. For example, the genetic algorithm itself, the performance characteristics of the defect, making their genetic algorithm to solve practical problems, easy to fall into local optimal solution. PSO is the need to go through more cycles before convergence to the global optimum. In the above stochastic optimization algorithms, due to the dimension of the limit, the optimization process in the distribution system switches each switch position corresponds to a variable, the state quantity, so easily lead to inefficient search. To be more reasonably applied to practical problems in the past, must find a solution both accurate and efficient method. By considering reliability and economic coordination, the optimal configuration of switches range of options; power distribution system for the probability of availability indicators known conditions, solving the optimal solution, in order to achieve practical and effective purpose.

Answer 2

配电系统开关的优化配置问题本质上是一个计及可靠性约束的0-1整数规划问题，常以成本效益分析为基础，将设备投资和减少停电损失获得的经济效益综合形成目标函数，建立模型。该模型属非线性、不可微、连续－离散混合的组合优化问题。同时，目标函数不易用决策变量解析表达，其计算复杂性大，属组合优化难题。目前的求解方法有很多，例如：直接计算法、馈线的简单分段法、启发式方法、Bellmann方法、人工智能算法。现在比较常用的是人工智能算法，主要包括模拟退火、遗传算法、免疫算法、禁忌搜索算法、粒子群算法等，这些算法还在一定程度上存在着不足。比如，由于遗传算法本身的性能特征的缺陷，使得遗传算法其解决实际问题时，易陷入局部最优解。粒子群算法则需要经过比较多的循环次数后才能收敛到全局最优。在上述各种随机优化算法中，由于受到维数的限制，在配电系统开关优化过程中每一个开关位置对应一个变量，状态数量多，所以容易导致搜索效率低下。要想更加合理地应用到实际问题中来，必须找到一个既准确又高效的求解方法。通过综合考虑可靠性与经济性的协调，研究开关的优化配置方案的选择范围；针对配电系统的供电可用率概率指标已知的条件下，求解最优方案，以达到实用有效的目的。

输入内容已经达到长度限制还能输入 9999 字