机译:考虑生态环境问题的高效混沌神经网络多目标自适应差分进化及其在水电长期运行中的应用
School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
long-term hydropower operation; adaptive crossover rate; differential evolution; chaotic neuron network; local optima; ecological environment;
机译:基于混沌序列和基于反对基于反对的Jaya算法在级联水电站系统的多目标最佳运行中的应用
机译:燃料电池电站配电网优化运行管理的多目标模糊自适应混沌PSO算法
机译:考虑干旱地区生态用水需求的级联水电站长期和中期生态运行
机译:级联水电站储层多目标生态运算模型
机译:多目标微分进化:理论与应用
机译:基于自适应网格的多目标柯西微分演化用于风能不确定的随机动态经济排放调度
机译:使用混沌自适应多目标BAT算法进行大规模级联水库的长期水电站调度