Inventory placement in acyclic supply chain networks

By adding a set of redundant constraints, and by iteratively refining the approximation, we show that a commercial solver is able to routinely solve moderate-size strategic safety stock placement problems to optimality. The speed-up arises because the solver automatically generates strong flow cover cuts using the redundant constraints.     

Focusing performance of a multilayer Laue lens with layer placement error described by dynamical diffraction theory

The multilayer Laue lens (MLL) is essentially a linear zone plate with large aspect ratio, which can theoretically focus hard X‐rays to well below 1 nm with high efficiency when ideal structures are used. However, the focusing performance of a MLL depends heavily on the quality of the layers, especially the layer placement error which always exists in real MLLs. Here, a dynamical modeling approach, based on the coupled wave theory, is proposed to study the focusing performance of a MLL with layer placement error. The result of simulation shows that this method can be applied to various forms of layer placement error.     

Solving a novel multiobjective placement problem of recloser and distributed generation sources in simultaneous mode by improved harmony search algorithm

This article deals with optimal placement of Distributed Generation (DG) sources and recloser in simultaneous mode and develops an improved harmony search (iHS) algorithm to solve it. For this, two important control parameters have been adjusted to reach better solution from simple HS algorithm to obtain better solution from simple HS algorithm. The proposed multiobjective function consists of two parts; first is improving reliability indices and second is minimizing power loss. The reliability indices have been selected based on satisfactory requirements of costumer and electric company as well as response to transient and permanent faults. Then, four reliability indices has been used in objective function; that is, system average interruption duration index (SAIDI), cost of energy not supplied, momentary average interruption frequency index, and system average interruption frequency index (SAIFI). Simulation has been performed on a practical distribution network in North West of Iran. Three scenarios have been introduced; that is, scenario (i) First, placement of DGs, and then recloser, scenario (ii) First, placement of recloser, and then DG, and scenario (iii) simultaneous placement of DG and recloser. Also, three cases are defined based on the number of used DG and recloser. Results of the proposed algorithm have been compared with related values of particle swarm optimization and simple HS algorithms. The core contribution of the presented study is introducing several novel indices to analyze and discuss the obtained results from simulation. © 2014 Wiley Periodicals, Inc. Complexity 21: 328–339, 2015     

Load-aware femtocell placement in the commercial buildings

Femtocells are designed to cover small indoor areas. In commercial buildings, femtocell placement and number is one of the most important network issues. In such buildings, another problem is uneven traffic distribution in different spaces, which causes high traffic and low traffic areas. Due to the small coverage areas of femtocells and these high traffic and low traffic areas, some femtocells are overloaded and some femtocells are underloaded. Also, increase in the distance of high-traffic areas from the femtocells, increases the number of resource blocks used. These issues reduce network efficiency. In this article, femtocell placement has been managed in such a way that the traffic load on the femtocells is balanced and is reduced the number of resource blocks used in the building and efficiency is increased. A mathematical model for femtocell placement has been introduced which balancing the femtocell load and reducing the average number of resource blocks used, the conditions of maximum coverage area and minimum femtocell number should also be fulfilled. This challenge has been addressed by using non-dominated sorting genetic algorithm (NSGA-II). An initial population generation algorithm and a selection function are also presented. The assessment results indicate that compared to the latest studies, this newly proposed method reduces the average load on the whole building by 79% and decreases the load variance between the femtocells by 86%.     

混沌时滞神经网络系统的反同步

利用状态观测器方法研究了一类带时滞的混沌神经网络系统的反同步问题.与应用于其他混沌系统的反同步方法相比,提出的方法更为简便,并且利用极点配置技术,只要通过调整特征值来实现反同步速率的快慢.最后,给出了数值例子和计算机仿真结果来验证该方案的有效性. 关键词： 混沌神经网络 状态观测器 极点配置技术 反同步     

改进的泡泡布点方法研究

泡泡布点方法能够在复杂区域内生成高质量的节点集，但是其计算效率仍有待提高，为此本文做了两方面的改进。一是种子填充算法思想应用于节点的初始布置中，从而生成数目合适的节点集，省去了原布点方法中的节点增删过程，有效地节约模拟时间；二是简化了泡泡运动模拟的控制方程，使得运动模拟更加简单。数值算例表明，改进的泡泡布点方法生成的网格平均质量均高于0.94,且计算效率相比原布点方法提高90%以上。因此，改进的泡泡布点方法是一种高质量、高效率且适宜求解大规模问题的节点布置方法。