The Contraction expansion algorithm was improved by greatly reducing visiting objective function, so it could solve the large scale, integer and combined constrained nonlinear programming.
将缩张算法加以改进，较大程度地减少目标函数的访问次数，既可运用到规模和难度较大的约束非线性规划问题，也可运用到整数及混合规划问题。
It can be summed up as a typical large-scale nonlinear mixed-integer programming problem.
该问题可以归纳为一个典型的大规模非线性混合整数规划问题。
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。
This formulation results in a large scale 0-1 programming problem with nonlinear objective function and linear or nonlinear constraints.
该数学表达式表现为一个具有非线性目标函数及线性与非线性约束条件的大规模0 - 1规划问题。
This formulation results in a large scale 0-1 programming problem with nonlinear objective function and linear or nonlinear constraints.
该数学表达式表现为一个具有非线性目标函数及线性与非线性约束条件的大规模0 - 1规划问题。
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