Optimal design of Raman fibre amplifier based on terminal value optimization strategy and shuffled frog leaping algorithm

This paper introduces an evolutionary algorithm, Shuffled Frog Leaping Algorithm (SFLA), to solve the optimization problem in designing the multi-pumped Raman Fibre Amplifier (RFA). SFLA is a powerful optimizer tool because of its efficient mathematical expressions and global search capability. We utilize SFLA to determine the optimal pump wavelengths and pump powers by minimizing the gain ripple of RFA. To accelerate calculations, a terminal value optimization strategy (TVOS) is incorporated into the evolution of SFLA. This proposed strategy takes the terminal power values of pumps as the decision variables in optimization. Then, the optimal original power values of the pumps are obtained by solving the Power Coupled Equations once, without using the traditional method of repetitive guesses.The combination of SFLA and TVOS enhances the efficiency of optimization and accelerates calculation, while satisfying the design requirements of RFA.The simulation results show that nearly 65% of computational time has been saved compared with the traditional average power analysis. The 4-pumped C+L band of backward multi-pumped RFA with the average net gain of 0 dB, 1 dB and 2 dB are designed individually, where the gain ripple is less than 0.64 dB. The combination of SFLA and TVOS enhance the optimization efficiency and improve the performance of RFA with good gain profile.     

组合式液压爬升模板施工技术在财富中心工程中的应用

随着我国超高层建筑的快速发展,液压爬升模板施工技术被普遍采用.本文以财富中心项目为例,介绍了组合式液压爬升模板施工技术的应用,内核心筒采用蛙式爬升系统,外筒采用附壁式爬升系统,各个平台相互独立系统设计,灵活方便,确保工程顺利施工,为以后的超高层建筑核心筒施工提供了重要指导意义.     

Dynamic phase balancing in the smart distribution networks

A distribution system might be unbalanced due to various reasons which can cause some major problems. Re-phasing strategy is the most effective method for phase balancing performed manually in distribution networks. Dynamic phase balancing is the main objective of this paper that means re-phasing performance at any time of day when unbalance is more than permissible limit. It is possible only in smart distribution networks by installing the automatic re-phasing switches at busbars. Automatic re-phasing eliminates the customer service interruption cost and labour cost available in the manual re-phasing operation. There are two basic operations in the optimal dynamic phase balancing: detecting the best time for re-phasing and considering the load variations in real distribution networks. This paper consists of two scenarios. First scenario is switches installation at all nodes of feeder and second scenario is switches installation at the limited strategic nodes. First scenario focuses on search space reduction by employing a sensitivity analysis method which improves the convergence along with time saving. In order to solve the proposed optimization problem, the modified shuffled frog leaping algorithm (MSFLA) is implemented. Simulation studies greatly demonstrate the benefits achieved from this operation by reducing power loss cost and improving network phase balancing.     

面向用户多品种定制的分布式供应链调度

针对云制造面向分布式供应链环境中的多品种定制问题,提出一种多目标生产运输优化调度模型和基于改进混合蛙跳算法的求解方法。该模型考虑供应链中的制造/供应两阶段,以及不同企业间的运输时间和成本,得到成本最小、时间最短、生产空闲率最小、订单延迟最小的调度方案。同时,该算法重新定义原有算法的核心操作算子以适应离散调度问题求解,并结合模拟退火和极值优化算法的特性,进一步改进离散域的混合蛙跳算法的局部搜索性能。通过项目调度标准测试集验证了该改进算法的性能,并以6个品种定制需求为案例,验证了所提模型与算法的有效性。     

基于邻域正交交叉算子的混合蛙跳算法

混合蛙跳算法（SFLA）是一种全新的群体智能优化算法。针对基本混合蛙跳算法优化精度低、收敛速度慢的缺点,引入邻域正交交叉算子的概念,提出了一种基于邻域正交交叉算子的混合蛙跳算法（SFLA-OCO）。通过对基准函数进行测试,实验结果证明改进的算法提高了算法的收敛速度,增强了算法的寻优能力。     

记忆径向基神经网络在冷轧液压自动位置系统的优化控制

针对冷轧液压自动位置控制系统多变量、强耦合、高阶次和时变性等特点,提出一种引入记忆因子的径向基函数神经网络在线自适应调节PID参数的系统。为提高网络精度,利用改进的混洗蛙跳算法离线全优化记忆径向基神经网络,在获得网络结构的同时得到初始参数,避免网络模型训练的繁琐,并利用测试函数证明优化后的网络具有良好的逼近能力。然后利用优化后记忆径向基神经网络的自校正功能在线细调PID参数,仿真结果表明,该控制系统跟踪快、超调小、适应性强,控制品质优于传统PID和普通径向基神经网络PID控制方法。     

中国林蛙幼蛙的性别鉴定方法

针对刚变态的中国林蛙幼蛙雌雄不易鉴定的问题,本研究找出了幼蛙的固定、生殖腺的剖取、性腺组织切片的制作过程及性别鉴定方法。     

改进混合蛙跳算法在无线传感网定位中的应用

提出了一种改进混合蛙跳优化算法,用于改善无线传感网中距离矢量跳段定位算法的精度。首先根据锚节点与未知节点的位置关系利用DV-Hop算法进行初始定位, 然后分析误差来源,将目标定位机制转化为求解非线性总体最小二乘问题。同时合理选择加权因子和适应度函数,并利用带有混沌映射与柯西变异的改进混合蛙跳算法对未知节点坐标进行优化。在实验中,比较了最小二乘法、粒子群算法和改进混合蛙跳算法在定位中的性能。结果显示该智能算法简单可靠,而且有效提高了定位精度。     

基于改进混洗蛙跳算法的冷连轧轧制规程优化

 轧制规程优化是使轧制过程达到最佳状态的重要保证。综合考虑影响冷连轧轧制过程的多种因素,以等功率裕度和克服划痕为目标函数,建立了轧制规程多目标优化模型,并采用自适应混沌变异蛙跳算法对轧制规程进行优化设计。该算法是在基本蛙跳算法中,加入自适应混沌变异操作,具有较好的寻优精度和收敛速度。对某钢厂1370mm冷连轧机轧制规程进行优化的结果表明,优化后的规程较好地实现了各机架等功率负荷分配,降低了划痕出现的概率和程度,大大地提高了产品质量,增加了经济效益。     

高强度复合材料整铸辙叉前期研究

辙叉是线路上工作条件最为严峻的轨道部件之一。用高强度复合材料整铸的辙叉替代普通辙叉的研究具有重要意义。以ＰＤ３钢轨钢作为基体材料，在其表面熔合上一层新型具有更好耐磨性能的材质。新材料１、新材料２分别在ＰＤ３基础上把Ｖ的含量提高到０．１５％～０．２５％和０．３５％～０．４５％。采用合适的工艺措施，使新材料１、２与ＰＤ３轨道钢很好地熔合在一起。它们的σｂ、ａｋ、δ、τｂ均不低于ＰＤ３，而Ｈｖ却有了提高。