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.
Three-dimensional scanning technology allows the acquisition of a geometric model for real-world surfaces. Most of the acquisition systems are limited to reconstruct a partial view of the object obtaining in blind areas and occlusions, while in most applications a full reconstruction is required. Many authors have proposed techniques to fuse 3D surfaces by determining the motion between the different...
This paper based on the manipulation of full vehicle logistic network and integrated inventory, in order to optimize automobile logistics network and reduce costs, the integrated optimization model was presented, which provided an integrated view of transportation economies-of-scale, inventory and facility costs as well as service quality, and at the same time a complicated multi-customer network...
This article deals with the development of an improved clustering technique for categorical data that is based on the identification of points having significant membership to multiple classes. Cluster assignments of such points are difficult, and they often affect the actual partitioning of the data. As a consequence, it may be more effective if the points that are associated with maximum confusion...
This paper shows that linear arrays with the design described in the title can outperform both uniformly spaced arrays and nonuniformly spaced arrays designed by other published methods. The linear model can be extended to planar arrays in ways that achieve excellent antenna performance while preserving the efficiency of the optimization procedure used in the design process.
Wireless sensor networks are highly useful for many location-sensitive applications. The position of each node is assumed in most wireless sensor networks, which can make the sensed information meaningful. Finding position without GPS is important when GPS is not accessible or not practical to use. Typically, with the positions of only a few sensors predetermined, localization algorithms work for...
With the proliferation of location dependent applications in sensor networks, localization awareness becomes an essential capability of sensor nodes. Many localization algorithms have been proposed in recent years, in which DV-Hop is the most popular one. Intrinsically, localization is an optimization problem based on various distance/path measures. GA and SA are both widely used approaches toward...
Since the operations of sensors in wireless sensor networks (WSNs) mainly rely on battery energy, energy consumption becomes an important issue. In this paper, we use a global simulated annealing genetic algorithm (GSAGA) to create energy efficient clusters for routing in WSNs. The simulation results show that the proposed GSAGA algorithm has higher efficiency and can achieve better network lifetime...
Categorical data clustering has been gaining significant attention from researchers, because most of the real life data sets are categorical in nature. In contrast to numerical domain, no natural ordering can be found among the elements of a categorical domain. Hence no inherent distance measure, like the Euclidean distance, would work to compute the distance between two categorical objects. In this...
One of the key contents to build logistics distribution centers is how to determine an appropriate, feasible selecting position strategy. This paper represents it as a cost minimization problem, which intends to obtain the minimum sum of transport cost, variable cost and fixed cost. Therefore this paper establishes an optimal selecting position model based on transport cost and managing cost, with...
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor nodes. Node localization has been a topic of active research in recent years. Accurate self-localization capability is highly desirable in wireless sensor network (WSN). This paper proposes a genetic simulated annealing algorithm based localization (GSAAL) algorithm for WSN...
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor nodes. Node localization has been a topic of active research in recent years. Accurate self-localization capability is highly desirable in wireless sensor network. A fundamental problem in distance-based sensor network localization is whether a given sensor network is uniquely...
The paper presents an implementation analysis of Chordal ring structures using two modern heuristics namely Simulated Annealing and Genetic Algorithm. In recent years Chordal rings gained a lot of interest for physical topology of the next generation large-scale network infrastructure. Degree 3 Chordal ring structures possess small diameters, low average distances and easy routing schemes. For the...
This paper presents a comparative study of three metaheuristics: Genetic Algorithm (GA), ant Colony Optimization (AC) and Simulated Annealing (SA), implemented to solve the classical Traveling Salesman Problem (TSP). The efficiency of each approach is evaluated taking into account the execution time of the algorithm and the quality of the generated solution. Additionally, metrics of the program, including...
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.