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Uncertainty in connection requests arrivals and departures brings forth inefficient resource allocation of online RWA heuristics for dynamic lightpath provisioning. Thereby, periodic re-optimization can play invaluable role in improving resource utilization of WDM networks. This paper investigates network re-optimization carried in two consequent phases: a) finding new wavelength assignment for a...
Optimal reconfiguration of electrical distribution systems is a research topic requiring solution methods able to handle irregular topologies and representations with discrete variables. The combinatorial optimisation problems are formulated as global optimisations handled with deterministic or probability-based methods. This paper presents an overview of the probability-based methods, recalling their...
The logistics network reliability theory is a probability index, which is more accurate to measure the status of the logistics network than absolute indicators. It can provide better decision-making basis for its planning and management. Therefore, study the reliability of logistics systems is essential to parts of the logistics business and even vital for the continued prosperity and stability of...
Low Earth Orbit (LEO) satellite networks are expected to provide a variety of multimedia applications. In order to satisfy different QoS requirements and optimize utilization of network resources, a novel traffic classification routing algorithm (TCR) is proposed. The key technique of TCR is investigating the traffic classification link-cost metrics (TCM) for different traffic classes, which selects...
In this paper, we formulate an optimization problem for resource allocation and scheduling in orthogonal frequency division multiple access (OFDMA) half-duplex decode-and-forward (DF) relay assisted networks. Our problem formulation takes into account artificial noise generation to combat a multiple antenna eavesdropper. The secrecy data rate, power, and sub-carrier allocation policies are optimized...
Consider the problem of selecting the best simulated system with high probability, from a finite and huge set of alternative systems. The best system might be the one that has the maximum or minimum performance measure. In this paper, we present a sequential method that uses the Ordinal Optimization procedure to select randomly a subset that overlaps with the set of the actual best m% systems with...
Landslide is a common failure mode for levee, and the safety of which is always assessed by the value of safety factor. However, the safety assessment using the index of safety factor is usually unreasonable due to the uncertainty of soil characteristics, in contrast, the risk analysis by consideration of such uncertainties is more reasonable. Therefore, in the paper, the risk probability of levee...
Planning of the mobile robot is one of the core research areas which is complex, binding and non-linear. Ant colony algorithm is an intelligent optimization algorithm developed in recent years. Aiming at the problems of the ant colony algorithm such as slow convergence speed and long computation cycle, in order to improve the efficiency of route planning, proposed using improved ant colony algorithm...
Disassembly is a systematic method for separating a product into its constituent parts. Based on the uncertain feature of disassembly process, combined with the defined probability transmission rules of different constrain nodes, the optimal disassembly sequence is determined by the probabilistic planning method. Simultaneously, a simple example is presented to test the proposed probabilistic planning...
A framework for the joint design of wireless network and controllers is proposed. Multiple control systems are considered where the sensor measurements are transmitted to the controller over the IEEE 802.15.4 protocol. The essential issues of wireless networked control systems (NCSs) are investigated to provide an abstraction of the wireless network for a co-design approach. We first present an analytical...
In order to optimize pedestrian signal cycle, queuing theory and probability theory were used to build delay model of pedestrian-vehicle system, and then put forward the calculation method of conversion coefficient of pedestrian crowd and vehicles. The delays of pedestrian and vehicle were calculated by equilibrium phase delay formula. The critical volume curves of pedestrian signal for pedestrian...
Virus signature library is key factor for performance of anti-virus programs considering accuracy and scanning speed. To ensure coverage of various emerging viruses, the scale of signature library grows larger and the consequence is lower efficiency because of the need of matching against more signatures. This paper's target is to decrease the signature mapping cost by optimizing signature library...
We present a convex variational active contour model with shape priors, for spatio-temporal segmentation of the endocardium in 2D B-mode ultrasound sequences, which can be solved by Continuous Cuts. A four component (signal dropout, echocardiographic artifacts, blood and tissue) Rayleigh mixture model is proposed for modeling the inside and outside of the endocardium. The parameters of the mixture...
Optimization of hard fusion spectrum sensing using the k-out-of-N rule is considered. Two different setups are used to derive the optimal k. A throughput optimization setup is defined by minimizing the probability of false alarm subject to a probability of detection constraint representing the interference of a cognitive radio with the primary user, and an interference management setup is considered...
In this paper, an original optimization method to jointly determine a reduced study term and an optimum battery sizing is investigated. This storage device is used to connect a passive wind turbine system with a stand alone network. A Weibull probability density function is used to generate different wind speed data. The passive wind system is composed of a wind turbine, a permanent magnet synchronous...
In this paper we consider a single cognitive radio seeking a transmission opportunity by sequentially sensing a number of statistically independent primary channels. We study the joint optimization of the time spent to sense a channel, the decision threshold to determine whether the channel is free or busy, together with the order with which the channels are sensed. The sensing time and decision threshold...
Based on financial status of loan customers, considering the constrain on laws, and regulations, using portfolio profits maximum of bank's assets as objective function, the optimal model of asset-liability-management is set up, in order to provide decision-making method for bank's risk management. The characteristic is that the financial status of loan customers is measured by Z-Score model, which...
The aim of this paper is to develop a methodology that makes it possible to take advantage of power transformer operators' knowledge in order to reach a better control of process of preventive maintenance (PM). The main idea is to construct probabilistic models using a Bayesian approach along with an age reduction model in order to compensate for both the lack of failure data on the maintained system...
Ant Colony Optimization (ACO) is a novel bionic evolutionary algorithm for solving complex combinatorial optimization problems. This research approach lies at initial stage at present, and a new adaptive ant algorithm is proposed for the traditional ant algorithm easily appears precocious and stagnation behavior phenomenon in this paper. And the traditional parameter of pheromone of ant colony algorithm...
Several scenarios exist in the modern inter- connected world which call for an efficient network interdiction algorithm. Applications are varied, including various monitoring and load shedding applications on large smart energy grids, computer network security, preventing the spread of Internet worms ad malware, policing international smuggling networks, and controlling the spread of diseases. In...
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