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[1]江善和 江巨浪 吴磊.基于粒子群算法的一种非线性PID控制器[J].计算机技术与发展,2007,(04):71.
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[2]邹丽珊 陈振洲 洪洲.复杂动力学模型参数优化问题的协同进化算法[J].计算机技术与发展,2011,(08):129.
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