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多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard p
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关于OFDM优化的一篇引用率很高的文章,是多目标优化的内容，可以作为优化设计的参考文献-One important paper about optimization in OFDM wireless communication
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基于多目标优化问题的改进蚁群算法的设计描述-Improved Ant Colony Algorithm design descr iption based on the multi-objective optimization problem
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详细介绍了实际生活中存在的多目标优化问题以及解决多目标优化问题的几种典型算法
-Details of the real life existence of multi-objective optimization algorithms to solve problems, and some typical multi-objective optimization problem
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Multi-objective optimization of heat exchangers using a modified
teaching-learning-based optimization algorithm
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单/多目标优化程序，内含说明文档和Matlab程序-Global Optimum Determination by Linking
and Interchanging Kindred Evaluators. This algorithm is an attempt to gen-
eralize and improve the robustness of the four meta-heuristic optimization al-
gorithms GA, PSO, DE and
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服务计算中服务质量的多目标优化模型与求解研究.pdf-Model Study of Multi- objective service quality service optimization calculations
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