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Optimization Design of Six-Connecting Rod Loading Mechanism for MSW Based on Genetic Algorithms

机译:基于遗传算法的城市垃圾六连杆加载机构的优化设计

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In order to improve the efficiency of Loading Mechanism for municipal solid waste(MSW), a new loading mechanism which can be used with the waste compacting vehicle was proposed, and the equipment working principle was introduced. Mathematics model of optimization design was established. Objective function and restriction that helps to produce a uniform initial population is used to enhance the optimization efficiency of the genetic algorithms. Instead of using traditional SQP programming method, the configuration was optimized by using MATLAB and the Optimization Toolbox offered by MATLAB. Through the comparison between the optimal scheme and the old scheme, the cost of this equipment was reduced, the performance of the loading mechanism is obviously increased and the validity of the GA is proved.
机译:为了提高城市生活垃圾装载机构的效率,提出了一种可与垃圾压实车配合使用的新型装载机构,并介绍了设备的工作原理。建立了优化设计数学模型。有助于产生统一初始种群的目标函数和限制条件可用于提高遗传算法的优化效率。代替传统的SQP编程方法,使用MATLAB和MATLAB提供的Optimization Toolbox优化了配置。通过对最优方案和旧方案的比较,降低了设备成本,明显提高了加载机构的性能,证明了遗传算法的有效性。

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