optimization problem的例句大全

A new gradient descent algorithm for unconstrained optimization problem is proposed.

提出了一种新的无约束优化下降算法.

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After analyzing the structure property of the established optimization problem, we derive its explicitly optimal solution.

在分析所建立模型结构特性的基础上, 文中还导出了该模型的解析最优解.

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It is only used for solving inequality constrained optimization problem.

它仅用于求解不等式约束优化问题.

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Bilevel optimization problem is a basic form of hierarchical level optimization problems.

双层优化问题是递阶多层次优化问题最基本的形式.

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An equation or inequality relating the variables in an optimization problem.

问题中,一种表示若干变量相互关系的方程(式)或不等式.

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Ant Colony Optimization Algorithms ( ACOAs ) were appropriate for this optimization problem.

本文引入一种全新的寻优算法-蚁群算法.

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The non-smooth optimization problem is transformed into a smooth one.

该方法将 非 光滑优化问题转化为光滑优化问题.

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Transmission network expansion planning is a complicated, nonlinear, large-scale combinatorial optimization problem.

输电网扩展规划是复杂的大规模非线性组合优化问题.

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The optimization problem is solved by linear programming technique.

其中引入了线性数学规划方法求解最优化问题.

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This paper proposes a hybrid optimization algorithm to combinatorial optimization problem.

基于鱼群算法和蚁群算法提出一种混合优化算法用于求解组合优化问题.

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Locomotive working diagram is a multi-constraint combinatorial optimization problem.

机车周转图的编制是多约束条件的组合优化问题.

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FEM is the most wide-used structural response analysis technology for structural optimization problem.

在结构优化设计中,有限元方法(FEM) 是一种应用最为广泛的结构响应分析技术.

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Genetic algorithm plays an important role in solving global optimization problem.

遗传算法在解决全局优化问题中起着重要的作用.

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In the estimation, the key is solving a non-smooth optimization problem.

黄金分割方法可直接用于求解一致基本矩阵估计中的 非 光滑优化问题.

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Redundancy allocation is a combinatorial optimization problem of system design.

冗余分配是系统设计中的组合优化问题.

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Based on Pareto rank and penalty function, the multi-objective genetic algorithm is used to solve the flexible-interval preventive maintenance optimization problem.

运用基于Pareto秩和罚函数的多目标遗传算法有效解决了弹性周期预防性维修计划的优化问题。

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We introduce an improved Adopt algorithm for operating effectively over unreliable communication infrastructure in the context of the Distributed Constraint Optimization Problem ( DCOP).

本文在分布式约束优化问题框架下研究了改进的分布式约束推理算法，使其能有效地运行在不可靠的通信条件下。

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To the problem of multi-constraint and multi-target optimization in learning fuzzy model, TSK fuzzy model is decomposed of twain different species. The method of learning the model by cooperative coevolution is proposed.

针对TSK模糊模型的学习是多约束和多目标优化问题，提出将TSK模糊模型分解为两类不同的种群，协作共同进化的模型学习方法。

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Automated coverage optimization scheme based on combined multi-parameter adjustment can not only solve comprehensive coverage abnormal problem, but also have a great significance for improving coverage capacity performance of network.

基于多参数联合调整的覆盖自优化方法不但能解决解决综合性的覆盖问题，而且对于提高覆盖容量和改善网络性能指标均有重要意义。

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Multi-join query optimization is a difficult problem in the domain of database.

多连接查询优化问题是数据库领域的一个难题。

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