State Grid Jiangxi Electric Power Research Institute, Nanchang, China;
Electronic and Information Engineering of Shanghai University of Electric Power, China, Nanchang, China;
Electronic and Information Engineering of Shanghai University of Electric Power, China, Nanchang, China;
Active filters; Optimization; Power harmonic filters; Harmonic analysis; Hybrid power systems; Investment;
机译:混合时变粒子群算法和遗传算法的多目标最优无功分配
机译:混合时变粒子群算法和遗传算法的多目标最优无功分配
机译:基于粒子群,进化规划和遗传算法的多目标最优潮流比较研究
机译:基于遗传粒子群复合算法的混合动力电力滤波器多目标最优设计
机译:群算法的探索:混合粒子群优化和自适应文化模型算法。
机译:混合遗传算法和粒子群算法的FMS多目标AGV调度
机译:基于粒子群,进化规划和遗传算法的多目标最优潮流比较研究