• 60年代以来人们求解多目标优化问题兴趣日益增加。

    Since the 60s, people's interest on solving the multi-objective optimization questions has increased day by day.

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  • 的潜在并行性及组织、自适应学习的智能特性对于求解目标优化问题具有巨大潜力

    Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.

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  • 计算机仿真表明算法可以明显改善求解多目标优化问题寻优过程适应实际应用环境下快速、有效的决策要求

    The simulation results demonstrate that the new algorithm can improve the process of MOP optimization, and can meet the requirements of high-speed and effectiveness in application.

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  • 通过目标优化方法研究现状分析,针对多目标优化问题的特点提出一种基于联合正态分布求解多目标优化问题的分布估计算法

    By analyzing the research status of Multi-Objective optimization, an Estimation of distribution Algorithm for Multi-Objective Problem based on joint normal distribution is proposed.

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  • 针对科学工程研究中的病态问题提出基于多目标优化求解方法。

    The resolution strategy for ill-posed inverse problems encountered in science and engineering researches is put forward, based on multi-objective optimization.

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  • 通过目标实现程度隶属函数进行定义,多目标优化问题转变模糊规划问题进行求解

    By defining the membership function of the realization extent of each objective, the multi-objective optimization problem has been turned into a fuzzy programming problem to be solved.

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  • 离散变量析架尺寸优化问题,本文提出了采用多目标规划的思想、将离散变量优化连续变量优化结合起来求解方法

    In sizing optimization of truss with discrete variables, joined up optimization of continuous variable and discrete variable, the idea of multi-objections is used.

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  • 引进求解一类目标优化问题有效数列方法,给出了这种优界数列的构造法及相应的算法。

    An optimal boundary sequence method is introduced to find the weak efficient solution to a multi objective optimization problem.

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  • 目标过程优化综合问题目标混合整数非线性规划模型求解

    This question almost solves the model of Multi-objectives Mix-integer Nonlinear Programming (MOMINLP).

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  • 因此目标优化问题求解变得困难

    So it is much more difficult to solve the multi-objectives optimization problems.

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  • 通过实例仿真结果表明本文多目标粒子群算法求解半导体生产计划能力计划多目标优化问题可行的。

    Through the example simulation, the result indicated that MOPSO in this paper works well to solve the problem of production planning and capacity planning of semiconductor.

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  • 然后利用线性加权主要目标目标优化问题转化目标优化问题,采用精确算法思想进行模型求解

    Then it USES linear weighting method and main target method to convert the problem of multi-objective optimization into a mono-objective one and works out its solution via exact algorithm.

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  • 提出基于场景目标随机规划模型构建不确定市场需求环境能力计划问题模型,并用改进多目标粒子群优化算法求解

    We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.

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  • 提出基于场景目标随机规划模型构建不确定市场需求环境能力计划问题模型,并用改进多目标粒子群优化算法求解

    We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.

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