This paper considers the nonlinear programming problem of interval parameters.

摘要讨论了区间参数非线性规划问题.

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This thesis applies dynamic programming principle to solve nonlinear programming problem.

应用动态规划原理来解决一类非线性规划问题.

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To calculate control sequence , nonlinear model predictive control involves optimization to a nonlinear programming problem.

非线性预测控制在每个控制周期需要求取控制量, 其实质为非线性优化问题.

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The numerical experiment shows that this algorithm is effective in dealing with the nonlinear programming problem.

数据实验表明该算法对带约束的非线性规划问题求解是非常有效的.

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Genetic algorithm based on natural evolutionism is a good method to resolve complicated nonlinear programming problem.

摘要基于自然进化原理的遗传算法是一种解决复杂非线性规划问题十分有前景的方法.

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