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WirelessSensorNetworksOfMultipleBaseStationsPositi
- 《无线传感器网络中多基站定位的多目标蚁群算法》，EI检索文献-Wireless sensor networks of multiple base stations positioned multi-objective ant colony algorithm
sift5
- :研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简 化使其维数降低一半,得到增广矩阵.对增广矩阵进行列变换,依据坐标转换的特性可从中提取多目标的稳定正常点,实现了快速分离多目标的匹配点. -: Study of a multi-target recognition algorithm using SUSAN corner formed SIFT feature point
ICUFN-2012
- The performance of a visible light communication system is greatly affected by LED layout setting. Received power and SNR can be increased or decreased by changing LED placement. However, there is trade-off between received power and SNR. This makes
ICUFN-Receiver-Power-and-SNR-optimization-for-Vis
- The performance of a visible light communication system is greatly affected by LED layout setting. Received power and SNR can be increased or decreased by changing LED placement. However, there is trade-off between received power and SNR. This makes
A
- A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production
EMOs
- Multi-Objective Evolutionary Algorithms handout
A-Heuristic-Based-Multi-Objective-Approach-for--N
- reconfiguration networks
microgrid-optimization-simulation-
- 微网的经济运行研究_李乐，智能电网经济运行的多目标调度优化策略_英文_郑漳华，基于Matlab_Simulink的微型燃气轮机动态仿真研究_严志远向文国张士杰-Micro-economic research network run _ Lee, Multi-objective economic operation of smart grid scheduling optimization strategy _ English _ Zheng Zhang Hua, dynamic simulati
Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of w
- Distributed Generators (DGs) in a microgrid may operate in three different reactive power control strategies, including PV, PQ and voltage droop schemes. This paper proposes a new stochastic programming approach for reactive power scheduling of a mic
A-fuzzy-multi-objective-programming-for-optimizat
- A fuzzy multi-objective programming for optimization
Dynamic-multi-objective
- 柔性作业车间多目标动态调度
煤矿节能减排多目标优化研究
- 针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the obje