基于混沌人工蜂群算法的无线传感器网络覆盖优化

针对无线传感器网络随机播撒的节点严重冗余并且导致网络寿命短、覆盖效率不高等缺陷,提出了一种混沌人工蜂群算法的无线传感器网络覆盖优化算法;将节点的利用率和覆盖率作为优化目标函数,建立与之对应的数学模型,之后用混沌人工蜂群算法改善人工蜂群算法陷入局部最优、收敛慢等问题,提高算法收敛速度和精度,对节点覆盖模型进行求解,得出网络最优覆盖方案;通过实验仿真,提出的算法提高了无线传感器网络的覆盖率,覆盖率可达93.48%以上,减少了网络节点冗余,提高了网络寿命,降低了网络成本。     

改进的约束共轭梯度闪光照相图像重建算法

 针对闪光照相图像信噪比低的特点,提出了一种改进的约束共轭梯度闪光照相图像重建算法。该算法在约束共轭梯度迭代重建的基础上,提出了新的预优矩阵选取方案,减小了重建图像的轴线噪声,利用松弛迭代步长代替共轭梯度法中的最优迭代步长,并采用了新的收敛准则,在保证算法收敛的同时,减少了重建算法的计算量。数值试验表明,与传统约束共轭梯度重建算法相比,改进算法稳定收敛,迭代速度更快,并能有效提高重建质量。     

基于改进自适应萤火虫群算法的空调送风温度优化控制

为了提高变风量空调(VAV)送风温度系统的控制精度,减少冷冻水系统能耗,提出一种基于改进自适应萤火虫群算法(AGSO)优化的PID控制策略.建立被控对象数学模型,引入混沌搜索和变异策略,改善基本萤火虫群算法后期容易陷入震荡和局部最优的问题,利用改进自适应萤火虫群算法对冷冻水阀-送风温度PID控制进行优化.实验结果表明:...     

基于改进遗传算法的无线传感网覆盖优化

为提高混合无线传感器网络(WSNs)的覆盖率,将改进的遗传算法应用到WSNs覆盖优化中,通过合理调整移动节点的位置来提高网络覆盖率。针对传统群体智能算法易“早熟”,最大迭代次数需试探设定等缺陷,提出了基于多个种群并行优化的改进遗传算法。多个种群之间并不独立,而是通过移民算子相互联系;分别利用人工选择算子与精华种群选择并记录各个种群每一代最优染色体;并利用精华种群中保存的最优染色体设计出新的进化终止条件。仿真结果表明,改进的遗传算法不仅无需设定最大迭代次数而且收敛速度快,更兼有效地提高了WSNs的覆盖率     

基于改进蚁群算法的无线传感器网络路由的优化

为了延长无线传感器网络(Wireless Sensor Network ,WSN)的生命周期,均衡各个节点间能量消耗,针对现有的WSN路由优化算法存在的问题,提出了一种基于改进蚁群算法的路由优化算法。首先通过对蚁群算法和遗传算法的优劣性比较,在蚁群算法的基础上,结合遗传算法的选择、交叉和变异的操作,从而提高蚁群算法的搜索速度和寻优能力。最优路径评价函数综合考虑节点能耗及节点的剩余能量,使剩余能量多的节点优先参与数据转发,均衡节点间的能量消耗。通过与经典蚁群算法及遗传算法的对比实验表明,随着数据转发轮数增加,改进的蚁群算法能耗小,剩余能量多,网络生命周期明显延长;随着整个网络运行时间的增长,改进的蚁群算法,节点均衡能耗性好,最优路径搜索的成功率也明显优于其他两种算法。     

无需线搜索的并行非线性共轭梯度法

给出了一类无需线搜索的无约束最优化并行算法--并行非线性共轭梯度法(NLS-PNCG),用一个固定的公式来计算搜索步长,较常用的共轭梯度法计算量小.并且证明了目的的全局收敛性,给出了数值试验,结果显示NLS-PNCG优于线搜索的非线性共轭梯度法(NCG).     

基于约束共轭梯度的高能闪光照相图像复原算法

 针对闪光照相系统模糊较大、成像信噪比低的特点,提出了一种基于约束共轭梯度的闪光照相图像复原算法,将闪光照相图像复原问题转化为一个约束优化问题,引入基于非负、中值滤波和偏微分方程的光滑约束条件,并利用约束共轭梯度法迭代求最优解。数值试验表明,该算法能较好再现图像边缘信息,复原出的图像在信噪比和视觉方面都有较大提高。     

基于改进量子粒子群和主动PI模型的自适应无线传感器网络拥塞控制算法设计

针对无线传感器网络中路由节点需要转发大量数据导致网络拥塞,从而引起节点丢包率高和网络吞吐率过低的问题,提出了一种基于主动PI模型和改进量子粒子群优化算法的拥塞控制方法;首先定义了丢包率和队列长度计算方式;设计了改进的PI主动队列管理模型,然后,为了改进PI模型的控制效果,采用改进的量子粒子群算法对PI主动队列管理模型中的比例系数和积分系数kP和kI进行参数优化,从而得到能实现WSN自适应控制的主动PI控制模型;最后,对基于量子粒子群算法和PI主动队列模型的网络拥塞算法进行了描述和说明;仿真实验表明:文中提出的拥戴控制方法能有效实现WSN拥塞控制,是一种适用于WSN的有效拥塞控制方法,与其它方法相比,具有较短的平均队列长度和较大的网络吞吐率,具有很强的可行性。     

基于改进蛙跳算法的无线传感器网络覆盖优化

针对传统算法在解决无线传感器网络覆盖优化上存在的覆盖率较低和节点分布不够均匀的问题,提出了一种改进的蛙跳算法;为了同时达到增加算法的种群多样性和加快算法收敛速度的目的,改进蛙跳算法分别增加了个体高斯学习机制和根据粒子群思想改进的更新策略,让族内最差个体在自身附近进行局部搜索,若无效,则使族内最差个体同时向族内最优个体和全局最优个体学习;在性能评估实验中,对改进的蛙跳算法分别进行了标准函数测试和无线传感器网络覆盖优化测试;测试结果表明,在6个标准测试函数中,改进的蛙跳算法与其他算法相比在4个测试函数上的收敛精度有了明显提高;在无线传感器网络覆盖优化中,改进的蛙跳算法也能够使节点分布更加均匀,使网络覆盖率达到了85.6%。      

基于改进人工鱼群算法的LED混光方法

为寻求高LED颗粒利用率和高光效,引入了新LED组合进行混光,提出利用改进人工鱼群算法优化LED光通量配比,并设计了一款可调光调色筒灯来验证算法的可行性。引入相对基强化学习算法优化人工鱼种群;引入柯西分布和正态分布函数作为自适应算子,优化视域和步长。用积分球测试经优化后的灯具,数据表明灯具具有很高的颗粒利用率和光效。结果表明本文提出方法切实可行,具有很高的实用价值。     

Immune-Motivated Optimization

An immune-motivated optimization method is proposed and applied to both spin glass and graph coloring problems. Also an immune-motivated modification for the numerical Euler method is proposed.     

Design and Optimization of Nonlinear Tapers using Particle Swarm Optimization

In this paper the design and optimization of a nonlinear diameter taper, connecting the output section of a gyrotron cavity to the uniform output waveguide section, is presented. The design of a nonlinear taper of a 42 GHz, 200 kW CW gyrotron operating in the TE_0,3 cavity mode with axial output collection has been taken as a case study. The taper synthesis has been carried out considering a raised cosine type of nonlinear taper and the analysis is done using a dedicated scattering matrix code. In addition, an improved particle swarm optimization - an evolutionary optimization - algorithm is used for the design optimization of this nonlinear taper. The optimum design of the taper shows the effectiveness of the presented method.     

扩散吸声体的优化设计

由于扩散吸声体(Diffsorber)同时兼顾了扩散和吸声两方面的性能,在小房间的声学环境控制中有着特殊的功能。在比较成熟声吸收和声扩散理论的基础上,结合数论中的伪随机理论,提出利用吸声材料本身的声阻抗实现伪随机分布的新优化设计手段,并利用计算机编程实现,由此设计了多种不同吸声效果的扩散吸声体,以满足不同场合的需要。实验结果表明新方法的有效性。同时探讨了新型吸声扩散体的应用潜力。     

基于粒子群算法的半导体激光器温度控制优化

半导体激光器输出波长随温度变化而变化,为了使半导体激光器稳定工作,要保持它的温度稳定,而温度PID控制效果与其比例、积分和微分三个参数密切相关,采用粒子群算法对半导体激光器温度PID控制系统参数进行优化,选取控制误差绝对值时间积分函数（ITAE）作为适宜度函数,并与Ziegler—Nichols算法整定参数进行比较。仿真结果表明,这种优化算法加快了收敛速度,实验中调节时间由150S降到50S,超调量由18％降到4％,有效改善了系统的动态性能。     

基于代价优化的云工作流调度改进PSO算法

云计算可以通过即付即用的方式向用户工作流提供资源。为了解决资源服务代价异构环境下的云工作流任务调度代价问题,提出一种基于改进粒子群算法的云工作流任务调度算法WSA-IPSO。通过综合考虑任务的执行代价和依赖任务间发生数据传输时的通信代价,算法将总代价优化问题形式化为有向无环图DAG中的任务调度模型,并提出基于改进粒子群算法的优化模型对其进行求解。通过改进传统粒子群算法的粒子速度更新策略和惯性权重更新策略,算法可以以更快的收敛速度得到代价最小化的调度方案。通过仿真实验,与MCT算法及标准粒子群算法进行性能比较。实验结果表明,WSA-IPSO算法在降低总代价、任务分布的负载均衡以及算法收敛性方面比较同类算法均表现出更好的性能。     

Optimization of ultrasonic transducers

The so-called KLM-model for ultrasonic transducers is employed to optimize transducer design. Some new performance characteristics are defined which change monotonically with design parameters. These characteristics are based on the area of the envelope of the echo waveform produced by the transducer and of the corresponding amplitude spectrum. The efficiency of the transducer is defined by the round trip energy factor. The performance characteristics are used in a composite performance measure, which is then employed as a criterion in the optimization procedure. Two transducers are investigated: for medical imaging purposes and for spectral analysis of clinical echograms. The influence of electrical matching, backing impedance, matching layer impedance, bond line thickness and series induction on the optimized transducers is investigated.     

Optimization of high-harmonic generation

The dependence of the high-harmonic conversion efficiency in noble gases on experimental parameters is analyzed. The results presented here supply a guideline for the optimization of HHG. The most striking finding of our analysis is the dependence of the harmonic yield on the laser pulse duration. It is generally accepted that the harmonic yield increases for shorter pulse durations. Calculations in neon show that this is only true for harmonics close to the cutoff. Away from the cutoff however, the harmonic yield increases approximately linearly with the pulse duration.     

Theoretical Optimization of Stellarators

Net current free toroidal ("stellarator") confinement is studied with a combination of several methods: a complete set of analytical vacuum fields for finding favorable vacuum field configurations; three-dimensional MHD codes for finite-?, equilibrium computations; the expansion of a general toroidal equilibrium around its magnetic axis as guideline for the computational search in configurational space and for finite-?, MHD stability; Monte Carlo simulations for particle containment; continuous modular coil systems generating the configurations considered. Results are: vacuum field configurations with sizeable Q = 0, 1, 2, 3 helical fields, substantial twist number (? 1/2), significant reduction of the parallel current density, and vacuum magnetic well exist for a toroidal aspect ratio of 15-20 and can be generated by modular coils whose excursions from meridional planes are small compared to the toroidal period length. In these configurations, the finite-? toroidal shift is strongly reduced, so that a larger ? value (factor 2-4) than in the equivalent Q = 2 stellarator can be achieved. Stability calculations do not exclude the possibility of stable equilibria of this kind with (?) ? 0.05-0.1; transport calculations without electrical field show improvement-as compared to the Q = 2 stellarator-in the collisional and plateau regimes.     

Optimization of SPRITE detectors

The optimized operating parameters of SPRITE detector working band in the 8–14 μm region have been calculated by computer modeling based on one dimensional theory. The results suggest the length of filaments should be 700 μm; the width 50 μm; the thickness 7 μm; the length of read-out area 50 μm and the bias voltage 2.8 V. The optimized outline curve of the read-out area has also been obtained by use of a variational method: Y = 7.5 cosh (0.04211X). This results in a significant reduction of transit time and transit time dispersion from 0.26 to 0.20 μs and 0.13 to 0.045 μs, respectively.