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An Improved A∗ algorithm based on time window is proposed to solve conflict-free path planning problem for the Automated Guided Vehicles (AGV) in flexible manufacturing systems. Based on the planned AGV paths, conflict-free routing was received by utilizing the improved A∗ algorithm in the next AGV routing. The algorithm of improving evaluation function to introduce the turning factors not only avoids...
In reality, traffic demands are quite random, which usually deviate from the application conditions of a certain kind of signal control method and compromise the efficiency of traffic control. To solve such a problem, taking a typical isolated intersection as the research object, the adaptive control of an isolated intersection based on a complete phase group is proposed, which can automatically optimize...
In this paper, a new strategy combining the MDPSO (multimodal delayed particle swarm optimization) and continuous Bezier curve is developed for the global smooth path planning of mobile robots. Firstly, the preliminaries on Bezier curve and the MDPSO are briefly introduced. Secondly, the environment modeling is presented and the smooth path planning problem is mathematically formulated. Then, the...
The massive demand of mobile data traffic stimulates the emergence of cache-enabled heterogeneous cellular networks (HetNets). Caching at the network edge can reduce the duplicated transmissions of the contents and improve users' quality of service (QoS), however, the dense deployment of cache-enabled small base stations (SBSs) and relays poses a challenge on energy consumption. Several emerging technologies...
Information sharing is critical to multi-agent team for cooperative decision making in dynamic and partially observable environments. Other than building a full information coverage, if agents in a team can be self-directed to valuate a potential receiver and where to communicate, the coordination efficiency will be greatly enhanced. Although intensive studies of information valuation approaches have...
A disease propagating in a community or a rumor spreading in a social network can be described by a contact network whose nodes are persons or centers of contagion and links heterogeneous relations among them. Suppose that a disease or a rumor originating from a single source among a set of suspects spreads in a network, how to locate this disease/rumor source? This problem is crucial and challenging...
Sensor networks have been widely used in environment monitoring. Although there are some related works about water pollution monitoring and water pollution source localization using sensor networks, there are many problems which have not been solved so far. In this paper, the current research status on water pollution monitoring and water pollution source localization in sensor networks is illustrated...
An algorithm for detecting and extracting crack defects in glassware using wavelet transform is proposed in this paper. Firstly, the canny image segmentation and the local adaptive dynamic threshold segmentation are carried out on the glassware image with unobvious crack defects. Then, the wavelet decomposition is applied separately on the segmented images. And finally the wavelet fusion is used to...
Based on the mobile robot path planning problem, on the basis of the improved grid method, this paper proposes an improved ant colony algorithm, the particle swarm optimization algorithm can be incorporated into the ant colony algorithm. Firstly, using the particle swarm optimization algorithm to search for global path roughly. At the same time of search for dynamic pheromone intelligent distribution,...
This paper focuses on presenting a human-in-the-loop reinforcement learning theory framework and foreseeing its application to driving decision making. Currently, the technologies in human-vehicle collaborative driving face great challenges, and do not consider the Human-in-the-loop learning framework and Driving Decision-Maker optimization under the complex road conditions. The main content of this...
Grey Wolf Optimizer (GWO) is a new meta-heuristic optimization. It is inspired by the unique predator strategy and organization system of grey wolves. Since the GWO algorithm is easy to fall into local optimum especially when it is used in the high-dimensional data, an improved GWO algorithm combined with Cuckoo Search (CS) is proposed in this paper. By introducing the global-search ability of CS...
Power optimization based on intelligent algorithm draws more and more attention. This article presents a novel low power optimization strategy based on the high level software power management employing Markov Process for charactering the real running workload. This article formulates workload characterization and selection with stochastic process method, and solves the formula using dynamic voltage...
This article selects load balancing system technology to analyze, combines the live migration technology of virtual machine, and studys the frame of virtual machine live migration as well as the mathematical model applied to concrete process of the migration. The article presents that the process of combining the specific strategies of load balance to the frame of live migration, that the simulation...
Particle Swarm Optimization (PSO) has been widely used in the reactive power optimization of distribution networks, and the basic PSO algorithm takes too long time to solve the reactive power optimization problem of low voltage distribution network with multiple constraints. To solve this problem, a scheme of reactive power optimization for low-voltage distribution network using improved particle...
At present, radio frequency identification technology has been widely used in many fields, such as data acquisition, transportation, logistics management and so on. However, the collision problem in RFID technology seriously affects the performance of RFID system. Aimed at the shortcomings of search times and traffic by the traditional binary search algorithm, this paper propose an improved binary...
In this paper we consider the data caching problem in next generation data services in the cloud, which is characterized by using monetary cost and access trajectory information to control cache replacements, instead of exploiting capacityoriented strategies as in traditional research. In particular, given a stream of requests to a shared data item with respect to a homogeneous cost model, we first...
This paper discusses the novel anti-disturbance control algorithm for hypersonic flight vehicle (HFV) models by using neural network (NN) identifier. Different from those existed anti-disturbance results, the unknown exogenous disturbances in HFV models are assumed to be described by the designed NNs with adjustable parameters. Furthermore, the disturbance-observer-based-control (DOBC) algorithm with...
Online quality inspection is an effective way to guarantee the quality of PET bottles packaging on the high-speed filling production line. This paper focused on studying and developing a machine vision inspecting system for on-line defects detection of PET caps without support rings. An image processing algorithm was proposed to detecting the serious defects such as surface foreign matters and link...
Aiming at the tracking demands of the subway train to desired operation curve, an decentralized model predictive control algorithm (EDMPC) based on extended state observer (ESO) is proposed for automatic train operation (ATO) system so as to solve the problem that conventional decentralized model predictive control (DMPC) cannot process. Firstly, a train multi-point model is established, based on...
This study aimed at solving the multi-UAV route planning problem. It is necessary to decompose the mission into sub-goals and to decide which UAV should execute which subgoal (i.e. task). In an application domain, there are sixty-eight fixed locations, which are to be inspected by four UAVs after traveling through the minimum time. An ant colony algorithm (ACO) is used for path planning, and greedy...
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