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.
The study aims at Supermarket Distribution Problem, a mathematical model is constructed and an ant colony algorithm with tabu search is put forward. The algorithm is tested in combination with Supermarket Distribution Problem. The experimental results indicated that the algorithm solves Supermarket Distribution Problem effectively with quick convergence, avoids local optimum, high precision solution...
Vehicular Ad hoc Networks (VANETs) are a special type of Mobile Ad hoc Networks (MANETs), made by vehicles communicating among themselves, and by vehicles communicating to devices located in the margins of roads and highways. The main characteristic of a VANET is the high speed of network nodes - that can go up to 200 km/h -, and that impacts directly on the ability the network has to deliver data,...
To improve traffic safety it is important to evaluate the safety of roads and intersections. Today this requires a large amount of manual labor so an automated system using cameras would be very beneficial. We focus on the geometric part of the problem, that is, how to get accurate three-dimensional data from images of a road or an intersection. This is essential in order to correctly identify different...
This paper presents a numerical model of a morphing wing supporting the development of a biologically inspired vehicle capable of aerial and aquatic of locomotion. The model draws inspiration from the seabird Uria aalge, the common guillemot. It is implemented within a parametric study associated with aerial and aquatic performance, specifically aiming at minimizing energy of locomotion. The implications...
The problem of navigation in a spatially variable current is reviewed, and for a certain class of mathematically-describable functions, solved for minimum time in closed form.
Traffic signals are the main devices for controlling traffic to guarantee the safe crossing of opposing streams of vehicles and pedestrians. In this study, a simple cycle and split optimization method is developed for isolated intersections. The split optimization is based on the notion of minimizing delay per cycle while cycle length is adjusted according to the residual queues at the end of the...
Underwater vehicles present a difficult control-system design due to their nonlinear dynamics, uncertain models, and the presence of disturbances that are difficult to measure or estimate. A multivariable design based on backstepping jointly with a simple optimization algorithm, that minimizes the energy consumption, is able to carry out the control of this system taking into account the uncertainties...
In order to improve the efficiency and stability of the trajectory planning of glide phase for hypersonic cruise vehicle, this paper proposes an efficient trajectory optimization approach based on the theory of hierarchical planning. Firstly, the equations of motion and optimization for the vehicle are presented. Secondly, the algorithm generates a safe corridor according to the constraints of trajectory...
This paper presents a new Advanced Driver Assistant System (ADAS) with an ecological aspect (EDAS). A low fuel consumption problem is formulated coupled to a safety problem (longitudinal spacing). Several discussions are conducted concerning the computational time reduction, the choice of an optimization method by comparisons. A fuzzy controller is developed to introduce some safety margins that are...
The depth control problem is described and addressed for a small autonomous underwater vehicle in this paper. Based on the nonlinear model of AUV in vertical plane, the paper established a mathematical model of AUV's depth motion in vertical plane by linearizing the model at a specified operating point. An optimal integral-sliding-mode controller was designed for the AUV depth control system by constructing...
Vehicle routing problem(VRP) is an NP-hard problem, Ant colony algorithm is an effective tool for solving combinatorial optimization problems like VRP. On the base of understanding VRP problem and Ant Colony Algorithm (ACA), analysis ACA's application in VRP, for its shortcomings, reference MMAS thought, introduce dynamic negative feedback mechanism and appropriate increase the visibility mechanism,...
This paper presents configuration optimization studies on supercavitating underwater vehicles. These innovative vehicles operate at extremely high speeds due to the drag reduction achieved through the supercavitating regime. Their dynamic behavior is complex and highly nonlinear which makes their guidance and control particularly challenging. The extreme performance of the vehicles and the complexity...
In order to solve the logistic distribution vehicle scheduling problem in e-commerce environment, a method was proposed by modifying particle swarm optimization algorithm. In the method, a novel particle presentation for the vehicle scheduling problem was proposed. Simulation results have shown that the algorithm is effective and efficient for the vehicle scheduling problem.
The exact stationary response of the suspension vehicle system under the random road excitation is deduced based on the stochastic averaging method. Then, the control law is assumed to be velocity feedback control and the unknown control gains are determined by minimizing the modal performance indices. A quarter-car model is taken as example to illustrate the proposal method and the numerical results...
A multi-objective integrated scheduling of machines and material handling equipment in an automated manufacturing system is addressed in this paper. The FMS environment is modeled with the incorporation of six multioperational machines and two automated guided vehicles (AGVs). An ant colony optimization (ACO) is proposed to optimize a multi-objective function that maximize machine utilization, maximize...
Information system based on intelligent optimization algorithm is provided in this paper to solve the vehicle routing optimization problem with time constraint. And a hybrid optimization algorithm-PBIL combined with Ant algorithm is proposed and applied to VRP. The objective function is to minimize the cost and reduce the loss caused by customerspsila time restriction. The probability matrix of PBIL...
Exploration always occurs in the presence of uncertainty. In this paper, we consider path planning for autonomous vehicles equipped with range-based sensors and traveling in an uncertain area. The mission of the vehicles is to explore a set of objects of interest while reducing uncertainty in object position, visibility and state. A connection is shown between the Kalman filter (used to reduce uncertainty)...
The primary purpose of this paper is to simulate the ldquostored gas type pressurizing systemrdquo for propellant tanks in a launch vehicle. Preventing the cavitation occurrence in propellant pumps (as the propulsion requirement) and providing required level of pressure in propellant vessels to prevent them from buckling against external aerodynamic forces (as the structural requirement) are the two...
According to the problem that some key state parameters in vehicle stability control process are too difficult to directly measure, combining the strong tracking filtering theory with data fusion estimation technology, and by a 4-DOF nonlinear vehicle dynamics model, the algorithm of multi-sensor linear combination state optimization estimation based on strong tracking filter is proposed. For the...
This research presents a two phases heuristic neural network combined algorithmic approach to solve multiple depot routing problem with heterogeneous vehicles. It has been derived from embedding a heuristic based two level clustering algorithm within a multiple depot vehicle routing problem optimization framework. In logistic applications, customers have priority based on some logistic point of view...
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.