The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To deal with the problems of topological structure cannot adjust adaptively, easy to trap into the local minimum and diversity losing in traditional particle swarm optimization algorithm, a newly adaptive PSO algorithm based on dynamic link matrix was proposed, which build the neighborhoods though link matrix and divide them into the sub-swarm based on feature clustering. The algorithm can adjust...
Nowadays, manufacturing enterprises consumes a significant amount of energy; consequently, it has a significant potential to reduce resource consumption. However, key performance indicators of the traditional production do not completely take into account environmental impacts like energy consumption in production planning and scheduling. Against this background, an energy-aware scheduling model for...
Unlike conventional traveling salesman problems (TSPs) for transportation, amusement park navigation using a smart phone needs both efficiency and preference for personal adaptation. In addition, a dynamic treatment for waiting time estimation and reservation ticket use should be incorporated into a minimum path finding algorithm. This study attempts to unify an optimization method and recommender...
This paper processes the formation problem of multiple agents by assuming multiple virtual leaders. The basic idea is stated as follows: every dynamic agent is equipped with a virtual leader, and the agents reach consensus with their virtual leaders on the velocity and position through assigning stable control laws. Therefore, to solve the formation problem we just need to preset the trajectories...
An improved harmony search algorithm is presented for solving continuous optimization problems in this paper. In the proposed algorithm, an elimination principle is developed for choosing from the harmony memory, so that the harmonies with better fitness will have more opportunities to be selected in generating new harmonies. Two key control parameters, pitch adjustment rate (PAR) and bandwidth distance...
Speeding of E-commerce and Internet nowadays promote development, reform and recombination of logistics industry. More and more professionals focus here and approve concept of 4PL, which is the integrator of logistics industry, owns obvious advantages, and can play a role in today's highly competitive condition. In this paper, a multi-objective and multi-task routing problem of 4PL is considered,...
According to the flight path planning problem in dynamic environment, this paper gives a method of analysis. First, the radar threat field based on Voronoi diagram is created, and the track performance indicators established based on radar threat cost and fuel cost. Then the dijkstra algorithm was improved, and the algorithm is used for path planning in dynamic environment‥ Finally, the simulation...
For the system with both polytopic uncertainty and bounded disturbance, an off-line approach to the dynamic output feedback robust model predictive control is considered. To reduce the on-line computational burden, a look-up table is constructed off-line for on-line searching the real-time control parameters. During the on-line searching stage, if an off-line calculated ellipsoidal region of attraction...
This paper develops an opposition-based learning harmony search algorithm with mutation (OLHS-M) for solving global continuous optimization problems. The proposed method is different from the original harmony search (HS) in three aspects. Firstly, opposition-based learning technique is incorporated to the process of improvisation to enlarge the algorithm search space. Then, a new modified mutation...
With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind...
This paper analyses and studies genetic algorithm and classical clustering algorithms, and then the demand analysis and design of the personnel management system of Shenyang Administration College. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation...
The traditional control methods are not able to keep control performance in a high level because response speed becomes more important for industrial control. This paper presented a fast predictive control algorithm, which was easy and simple to calculate and the principle of algorithm was very clear and greatly improved the speed of response and calculation, as well as demonstrated the principles...
Aiming at the construction and reconstruction of dynamic cluster for target tracking with wireless sensor network, a sensor Scheduling target tracking-oriented algorithm based on prediction is proposed in this thesis, in which construction and reconstruction of dynamic cluster depends on prediction of nodes' location. Selection of cluster head is achieved by weighted algorithm considering residual...
This paper researches parameter and state estimation problems for linear systems with d-step delay. Combining the linear transformation and the property of the shift operator, the canonical state space model with d-step delay is transformed into an identification model. The stochastic gradient algorithm is raised to identify the parameter vectors. Finally, an example is presented to validate the given...
The structure of traditional distribution network is changed from a single supply radial network to a more power ring network when grid is connected with distributed generations (DG), and island phenomenon occurs higher in the process of reconstruction, which becomes uncontrolled and high risk operation and increased the difficulty of distribution network reconstruction. The improved immune genetic...
Since the traditional rapidly-exploring random tree connect (RRT-connect) algorithm cannot be applied to the problem of unmanned aerial vehicle (UAV) path planning directly, a variable probability based bidirectional RRT algorithm (VPB-RRT) is proposed. The restriction of the turning angle of UAV is joined in the process of generating random points of the programming algorithm, which makes the performance...
After analyzing the NCS application advantages and Disadvantages of Ethernet and TCP/IP network, the model predictive control algorithm is used to explore the transmission delay of the network control system. A delay compensation control scheme which based on dynamic matrix control algorithm is given. The scheme is proved to be effective by simulation.
In this paper, a High Precise Optimization Algorithm for manipulating multi-layered feed-forward neural network is studied. Its basic principle is: defining neural network average error as objective function, weights and thresholds as design variables, through design variables rationally sorted, objective function is dynamically formed. Compared the new method with BP, the optimum step-length can...
Wireless sensor network (WSN) is a kind of dynamic self-organizing network. It can be applied to military, environmental monitoring, industry and transportation fields. According to the characteristics of energy constrained wireless sensor networks, it is more significant to design an energy efficient wireless sensor networks in practice application. The affinity propagation clustering algorithm,...
Due to the closeness between theory and industrial practice, the scheduling problem has been investigated by many experts and practitioners. The mode of continuous casting and hot charge rolling in the steel making is one of the important research areas. Limited buffers and due dates of jobs which characterize the problem here investigated. Based on the analysis from a new angle, a hybrid algorithm,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.