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Optimaization design of new type energy-saving solenoiddirectional control valve using genetic algorithm

机译:基于遗传算法的新型节能电磁换向阀优化设计

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摘要

Mimiccing the metaphor of natural biological evolution, genetic algorithm is powerful and performs well on a broad class of optimization problems. It is more suitable to solve the multi-minimums optimization problem of the new type energysaving solenoid directional control valve, presented in the references [1][2]. In this paper, optimization design mathematics model of new type valve is given, optimization results suing genetic algorithm are presented. At the same time, the optimization results using traditional optimization method are shown to be compared
机译:遗传算法模仿自然生物进化的比喻,功能强大,并且在广泛的优化问题上表现良好。更适合解决参考文献[1] [2]中提出的新型节能电磁换向阀的多极小优化问题。给出了新型阀门的优化设计数学模型,提出了采用遗传算法的优化结果。同时,比较了使用传统优化方法的优化结果

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