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pega

  • 网络单亲进化遗传算法
pegapega
  1. Study on the Surface Activity of the Copolymer Surfactant PVA MA PEGA

    共聚物PVA-MA-PEGA的表面活性研究

  2. PEGA new way of enteral nutrition feeding

    PEG&管饲肠内营养的新方法

  3. PEGA make up for their lacks and genetic operation of PEGA is much simper than traditional genetic algorithm .

    与传统的遗传算法相比,PEGA算法弥补了它们的不足之处,简化了遗传算法。

  4. The proposed algorithm is evaluated in an IEEE 30 bus power system , the result shows that PEGA has better global searching ability with faster convergence rate and better performance in real time reactive power control .

    在IEEE30节点系统的实验中,与其他常规算法进行对比分析,结果表明分段进化遗传算法具有较强的全局寻优能力,更快的收敛速度,更加适应于实时无功控制。

  5. PEGA utilizes effective limbic information from father & body , uses the way of preserving the least limbic to evolution , and gains optimal path which transport costs is the lowest .

    运用PEGA利用父体所提供的有效边的信息,使用保留最小边的方法对个体进行进化,求得费用最低的优化路径,得到问题的解。

  6. At last the example of a new type propellant containing the hydrolytical binder ( PEGA ) or thermoplastic elastomer binder ( TPE ) which have little pollution and reusable properties is introduced .

    介绍了用可水解粘合剂(PEGA)或热塑性弹性体(TPE)粘合剂制成的新型固体推进剂具有令人瞩目的少污染和可再生使用性能的实例。

  7. A new improved GA algorithm is proposed for TSP problem : Partheno-evolution genetic algorithm ( PEGA ), PEGA that utilize effect limbic information from father-body use the way of preserving the least limbic to evolution .

    针对TSP问题的求解,提出了一种新的改进遗传算法:单亲进化遗传算法(PEGA),PEGA是利用父体所提供的有效边的信息,使用保留最小边的方法进行个体的进化。

  8. Finally , a demonstration model is developed by Pega for personal safety insurance systems . This model can be used to create new business demonstration modules . The model has many advantages such as rapid developed , visibility , expandability and ease of maintenance .

    最后,用Pega开发了人身险信息系统创建新业务模块的演示模型,该模型具有开发迅速,可见性,便于扩展,便于维护等优点,可供参考。