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。
The authors propose a coordinative control strategy of multiobjective optimal in power unit based on genetic algorithm(GA).
作者提出了一种基于遗传算法的火电单元机组多目标优化协调控制策略。
Secondly combining the traditional analytic method, iterative method, and GA(genetic algorithm) effectively, the calculation steps for the integrated model were given.
其次把传统的解析法、迭代法以及遗传算法相结合，给出集成模型的计算步骤；
Secondly combining the traditional analytic method, iterative method, and GA(genetic algorithm) effectively, the calculation steps for the integrated model were given.
其次把传统的解析法、迭代法以及遗传算法相结合，给出集成模型的计算步骤；
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