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《Evolutionary Algorithms for Solving Multi-Objective Problems》这是一本有关多目标进化的非常值得一看的书，里面有测试标准，测试函数等内容-The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, e
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14节点的无功优化是用粒子群算法实现的，很实用，希望对大家有帮助。-14-node reactive power optimization is achieved using particle swarm algorithm, very practical, we hope to help.
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本文采用模糊数学和优化理论建立起一套预测模型由计算机自动预测电力负荷-This article USES the fuzzy mathematics and the optimization theory to set up a forecasting model by computer automatic power load forecast
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There are reference Oh, Mathematics is part of the subspace, Genetic algorithm based reactive power optimization.
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Foreign materials inside the source code, Bayesian parameter estimation principle mixed logit model, Genetic algorithm based reactive power optimization.
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Image optical flow calculation matlab program, Genetic algorithm based reactive power optimization, Clustering analysis based on Euclidean distance.
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NRZ type differential phase modulation signal modeling and simulation analysis, Genetic algorithm based reactive power optimization, Matlab for beginner students will help.
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Ensure accurate communication is learning a good helper, Can dynamically adjust the parameters of the operating environment, Genetic algorithm based reactive power optimization.
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Waveform data analysis, Genetic algorithm based reactive power optimization, Data analysis, plotting, etc..
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