The key kinetic parameters of the new model were adjusted by using a genetic algorithm optimization methodology to improve ignition timings prediction.
另外，采用遗传优化技术对模型动力学参数进行调整。
We present an improved genetic algorithm(GA) for topology optimization of a truss with discrete sizing and under local buckling constraints.
采用改进的遗传算法，求解了具有屈曲约束，尤其截面积是离散型的桁架拓扑优化。
We present an improved genetic algorithm(GA) for topology optimization of a truss with discrete sizing and under local buckling constraints.
采用改进的遗传算法，求解了具有屈曲约束，尤其截面积是离散型的桁架拓扑优化。
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