Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
The hot rolling lot planning in iron and steel enterprises is a large-scale combination optimization problem with many restrictions.
钢铁生产中热轧批量计划编制属于多约束情况下大规模组合优化问题。
Collaborative optimization (CO), as a typical MDO method, is well suited to multidisciplinary design environment, especially large-scale distributed analysis problem.
协作优化就是一种多学科优化方法，它适用于多学科分析环境，尤其适用于大型分布式分析问题。
Optimal multistage transmission system expansion planning is a large-scale nonlinear combinatorial optimization problem.
多阶段输电系统规划问题是一个复杂的非线性组合优化问题。
This paper introduces a heuristic algorithm to solve a large-scale combinatorial optimization problem for transportation problem with constrained resources.
介绍了一种求解资源约束条件下的大规模组合优化运输问题的启发式方法。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
It is difficult to solve in large scale because the LRP is a typical NP-hard problem in combinatorial optimization.
由于定位-车辆路线问题是组合优化问题中一个典型的NP难题，大规模时难以精确求解。
Intelligent method has been widely used in reactive power optimization because of its superiority in solving the large-scale nonlinear programming problem.
近年来，由于在解决大规模非线性规划问题上的优势，智能算法在电力系统无功优化问题中获得广泛应用。
Distribution network reconfiguration for loss minimization is a complex, large-scale combinatorial optimization problem.
损失最小化的配电网络重构是一个复杂的，大型的组合优化问题。
Transmission network expansion planning is a complicated, nonlinear, large-scale combinatorial optimization problem.
输电网络扩展规划是一个非常复杂的大规模组合优化问题。
Global path planning problem for autonomous underwater vehicle (AUV) based on large-scale chart data is investigated by using ant colony optimization (in shorts, ACO) algorithm.
在大范围海洋环境中，应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
With the rapid development of computer science and urgent needs for practical problem in recent years, the large-scale optimization problem has drawn more and more attention.
近年来，随着计算机的飞速发展以及实际问题的需要，大规模优化问题越来越受到重视，很多实际问题都可以归结为最优化问题来解。
With the rapid development of computer science and urgent needs for practical problem in recent years, the large-scale optimization problem has drawn more and more attention.
近年来，随着计算机的飞速发展以及实际问题的需要，大规模优化问题越来越受到重视，很多实际问题都可以归结为最优化问题来解。
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