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The capacitated vehicle routing problem (CVRP) is one of the most challenging problems in the optimization of distribution. Most approaches can solve case studies involving less than 100 nodes to optimality, but time-consuming. To overcome the limitation, this paper presents a novel two-phase heuristic approach for the capacitated vehicle routing problem. Phase I aims to identifying sets of cost-effective...
This research considering one working partition of order picking system as the research object, studies order batching problem and builds order batching model of fixed maximum order number. To solve the order batching model, the storage location similarity coefficient is token as clustering index, at the same time clustering algorithm is designed. This paper explores the application analysis of the...
We present a new algorithm for discovering clusters in noisy data streams using dynamic and cluster-specific temporal decay factors. Our improvement helps identify and adapt to evolving trends by adapting the weighting of stream data based on both content attributes and temporal arrival patterns. Our experimental results show that the proposed algorithm can discover better quality clusters in noisy...
For the upcoming IoT (Internet of things) era, plethora of data from a variety of sensors needs to be processed on a real time basis for improving system responsiveness. Due to the increasing modality of sensors, data streaming analytics to deal with high dimensional data becomes a critical ability. In addition, concept drift also needs to be addressed since an IoT-enabled environment is dynamic in...
A new class of cooperative bat-inspired consensus protocols are proposed and analyzed in this paper. Motivated by the bat searching algorithm in swarm intelligence, the proposed bat consensus protocols have the outstanding feature of achieving convergent agreement of bat states toward a suggested direction, a feature also which happens to be solving a separate optimization problem. Hence, such protocols...
Nowadays, social network sites, such as Facebook and Twitter, have tremendous number of users in their repositories. Having this huge amount of data requires analyzing them to get statistics about the users and their interests. In this paper, we propose a new algorithm that clusters the nodes in social networks into communities based on their geodesic location and the similarity between their interests...
Recently, due to the popularity of Web 2.0, considerable attention has been paid to the opinion leader discovery in social network. By identifying the opinion leaders, companies or governments can manipulate the selling or guiding public opinion, respectively. Additionally, detecting the influential comments is able to understand the source and trend of public opinion formation. However, mining opinion...
This research provides an adaptive artificial bee colony algorithm (AABC) to handle the goods transportation routing problem based on available capacity of vehicles well-known as Capacitated Vehicle Routing Problem (CVRP). The proposed algorithm is developed from the traditional artificial bee colony algorithm to approve a good performance and quality solution. This algorithm was verified through...
Hybrid dynamical models are a powerful tool for describing the behaviour of many industrial processes and physical phenomena in which logical (discrete) and analog (continuous) dynamics exist and interact. Black-box identification of hybrid models from input/output observations and no information on the operating mode of the system is a challenging problem, as both the logical and the continuous dynamics...
In this paper we develop a new efficient heuristic method for facility layout problems. This heuristic method contains two phases. In the first phase, a clustering method based on the SOFM1 is used for clustering of data in similar groups and in the second phase, an exact solution approach is applied for designing of a layout in each cluster. As an alternative solution, the ALDEP2 algorithm is used...
The algorithm research of Traveling Companion is based on the fuzzy clustering analysis. The traveling companion is achieved via determining companion's characteristic index, tourists' information collection, dynamic fuzzy clustering analysis and finding optimal companion. In addition, it is aimed at solving the problems emerged in the tour and providing tourist enterprises with new tips for marketing...
Target tracking with the wireless sensors networks is to detect and locate a target on its entire path through a region of interest. This application arouses interest in the world of research for its many fields of use. Wireless sensor networks, thanks to their versatility, can be used in many hostile environments and inaccessible to humans. However, with a limited energy, they cannot remain permanently...
Analyzing characteristics of customers' electricity consumption behavior is helpful to improve the management level of demand side energy efficiency. In this paper, a method for analyzing the customers' electricity consumption behavior based on the massive data is proposed. Firstly, clustering algorithm is used to cluster daily load curves of the main power grid in the past one year, then under the...
A strategy to nonlinear dynamic system identification based on Fuzzy Kalman Filter, is proposed. A mathematical formulation based on fuzzy Takagi-Sugeno structure is presented: the algorithm FCM estimates the fuzzy sets; from the data input and output of a nonlinear dynamic system, the ERA/DC algorithm based on clustering, estimated by FCM algorithm, is applied to obtain the matrices A, B, C, and...
Price indicators are considered as the core of optimal allocation of resources in electricity markets. Zonal pricing can provide more flexible price signals than nodal pricing and uniform pricing, and a reasonable division of the energy market into zones is essential. In this paper, a topology based K-means clustering algorithm is developed which starts from calculating the locational marginal prices...
This paper investigates two bounded confidence gossip algorithms, one with constant confidence threshold and the other with increasing one, for effective communicating between agents in a network among whom some opinion formation forms. Each agent in the network keeps a real value presenting its opinion about some matter. The opinions of agents will be updated time by time according to an iterative...
The use of GPU clusters for scientific applications in areas such as physics, chemistry and bioinformatics is becoming more widespread. These clusters frequently have different types of processing devices, such as CPUs and GPUs, which can themselves be heterogeneous. To use these devices in an efficient manner, it is crucial to find the right amount of work for each processor that balances the computational...
Wireless Sensor Network (WSN) consists of small nodes with sensing, computation, and communications capabilities. Sensor node senses the data and sends data to the base station for further processing. These sensor nodes mainly rely upon batteries for energy, which get drained at a quicker rate due to the computation and communication and this decreases the lifetime of the network. In order to solve...
Fuzzy C-Means (FCM) algorithm is one of the most popular fuzzy clustering techniques. However, it is easily trapped in local optima. Particle swarm optimization (PSO) is a stochastic global optimization model, which is used in many optimization problems. In this paper, a hybrid clustering algorithm, called HAPF, based on adaptive PSO (APSO) and FCM is proposed, in order to take advantage of the merits...
Device to Device (D2D) communication technique has been projected as means of taking the benefit of increasing performance of cellular communication with direct link between users. In this paper, we propose a dynamic intra cluster data sharing method taking advantage of D2D multicast. One of the users serves as cluster head to take turns to multicast at a particular time, selected by base station...
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