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机译:基于遗传标记的同胞重构的新优化模型和算法
Department of Industrial and Systems Engineering, Rutgers University, Piscataway, New Jersey 08854;
Department of Industrial and Systems Engineering, Rutgers University, Piscataway, New Jersey 08854;
Department of Computer Science, University of Illinois, Chicago, Illinois 60607;
Department of Computer Science, University of Illinois, Chicago, Illinois 60607;
Department of Computer Science, University of Illinois, Chicago, Illinois 60607;
Department of Biological Sciences, University of Illinois, Chicago, Illinois 60607;
Department of Biological Sciences, University of Illinois, Chicago, Illinois 60607;
set covering; genetic markers; simulation; mixed-integer program; analysis of algorithms; sibling reconstruction;
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机译:基于现象学模型的电子束焊接过程的研究,以及通过反向传播算法,遗传算法,粒子群优化算法和BAT算法训练神经网络的输入 - 输出建模
机译:机器学习和遗传优化算法应用其组分特征模拟和优化大豆产量的应用
机译:从野生种群的遗传数据中高效而可扩展地并行重建同胞关系
机译:通过计数垃圾来监测狼群:从遗传学到基因组学的兄弟姐妹重建
机译:机器学习和遗传优化算法应用其组分特征模拟和优化大豆产量的应用
机译:基于遗传标记的同胞重建新优化模型及算法