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In order to make good use of the limited energy, ant colony optimization (ACO) was applied to inter-cluster routing mechanism. An uneven clustering routing algorithm for Wireless Sensor Networks (WSNs) based on ant colony optimization (ACO) was proposed. The algorithm utilized the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster head...
In this paper, an improved ant colony optimization based approach for image edge detection is proposed. The algorithm use ant colony clustering approach to extract edge feature. The approach set the heuristics information function and the initial cluster, thus avoiding the search blindness which carried out by traditional ant colony algorithm. And a series of simulation experiments demonstrate the...
In CBR system, the case base is becoming increasingly larger with the incremental learning which results in the decline of case retrieval efficiency and its weaker performance. Aiming at such weakness of CBR system, this article proposes a novel case retrieval method based on Hybrid Ant-Fish Clustering Algorithm (HA-FC). At beginning of algorithm, we get rough cluster sets utilizing the advantage...
It is introduced of an image analysis technique for the adaptive measuring of the gap width between cylinder cover and socket sleeve. The relative contents include the overall structure presentation of the measuring device, the differential analysis of the gap image, the first ant colony algorithm for the clustering number unknown, the second ant colony algorithm for the clustering number known, and...
The Ant Colony Optimization (ACO) technique was inspired by the ants' behaviour throughout their exploration for food. The use of this technique has been very successful for several problems. Besides, Data Mining (DM) has emerged as an important technology with numerous practical applications, due to the wide availability of a vast amount of data. The collaborative use of ACO and DM is very promising...
An approach of ant colony optimization combing gradient and relative difference of statistical means to image edge detection is proposed in this paper. The values of gradient and the relative difference of statistical means are extracted for the ants' searching. Experimental results show that the superior performances of the proposed algorithm.
This paper presents a technique for semantic Web service composition inspired by the behavior of ants. The proposed technique combines a service composition graph model with the ant colony optimization met heuristic to select the optimal composition solution. In our approach, we have considered as selection criteria the QoS attributes of the services and the semantic quality of the connections between...
Data gathering is one of the most important operations in wireless sensor networks. Since the nodes operate on limited power, it is a critical task to design an energy-efficient data gathering algorithm. In this paper, we propose an energy-efficient data gathering algorithm (EDGA) in which the network is grouped into clusters (each with a clusterhead) and the nodes form chains in each cluster. Firstly,...
An intelligent probability hypothesis density (PHD) filter, under the guidance of ant clustering behavior, is proposed and applied to estimate the time-varying number of maneuvering targets and their individual states. Our algorithm consists of rough and fine ant clustering behavior. The former forms approximation of PHD and yields the number of targets; whereas the latter is designed with the help...
Cellular Manufacturing is one of the major applications of group technology. It requires an effective part clustering approach to execute preliminary manufacturing cell design. One of famous approaches is the cluster analysis method, which uses similarity coefficients and clustering methods to group similarity parts into part families. Clustering methods are divided into two categories: hierarchical...
In order to find a more effective method of solving the problem of subjectivity and difficulty to deal with the high-dimension data in the clustering, a new method---an improved PP (Projection Pursuit) based on Ant Colony Optimization algorithm (ACO) was introduced. The ant colony optimization algorithm has the strong global optimization ability and the PP method is a powerful technique for extracting...
In this paper, we propose Clustering method and Ant Colony Optimization (ACO) for mobile robot. This paper describes the analysis and design of a new class of mobile robots. These small robots are intended to be simple and inexpensive, and will all be physically identical, thus constituting a homogeneous team of robots. They derive their usefulness from their group actions, performing physical tasks...
This paper presents a feasibility study for an intelligent cart system designed to be used in common airports. The framework provides novel methods to control carts using mobile software agents. In airport terminals, it is desirable that carts draw themselves together automatically after being used so that manual collection becomes less laborious. In order to avoid excessive energy consumption by...
Ant colony optimization (ACO) is a stochastic approach for solving combinatorial optimization problems like routing in computer networks. The idea of this optimization is based on the food accumulation methodology of the ant community. Zone based routing algorithms is build on the concept of individual node's position for routing of packets in mobile ad-hoc networks. Here the nodes' position can be...
Swarm intelligence exhibits a number of interesting properties such as flexibility, robustness, decentralization and self-organization. The instances of these algorithms on the domains of optimization, telecommunication network, knowledge discovery and robots are obviously increased. An ant colony algorithm is proposed aiming at the basic ant colony algorithms convergence slow and be prone to plunge...
This paper intends to propose a novel clustering method based on ant colony (AC) algorithm. A new approach called TT-transform based time frequency analysis is used in processing the non-stationary power signal disturbances. The time-time transform is the inverse Fourier transform of S-transform. The proposed model is demonstrated using feature vector from the domain of power signal analysis, yielding...
Ant colony clustering was first proposed by Deneubourg in 1990, it is a bionic clustering method and has been widely used in cluster analysis. In this paper, an ant colony clustering algorithm based on appropriate retention of the elites is presented. Based on the general ant colony clustering algorithm, the mechanism to retain the elites is introduced, in each of the iterative algorithm always retain...
The PID control of RBF-NN is taken for the nonlinear system. Due to the low quality of clustering in the clustering algorithm of the traditional RBF-NN, the rate of convergence is directly influenced by the initial value. In this paper, the quality of the clustering has been raised and the initial value has been optimized through the improvements of the clustering algorithm by taking the K-means-algorithm...
Wireless sensor networks together hundreds or thousands of sensor nodes to accurately monitor a remote environment. Considering severe resources constraints, it requires robust wireless communication protocols that are energy efficient and can provide longer lifetime, especially for routing protocol. In this paper, a balanced-clustering, energy-efficient hierarchical routing protocol is proposed,...
This paper proposes an algorithm for data mining named Pheromone-Miner (ant-colony-based data miner). The algorithm is inspired by both researches on the behavior of real ant colonies and data mining concepts as well as principles. The goal of Pheromone-Miner is to extract more exact knowledge from a database. Pheromone-based mining breaks through limitations of other mining approaches. We compare...
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