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The Web service composition is one of the most important ways to satisfy the users' personalized requirements and supply the high quality service for users, and the foundation of service composition is the selection of Web service. Firstly, expounded the basic principle of Ant Colony Algorithm and analyzed the model of Web service selection and brought the algorithm into the fields of Web service...
Nowadays, hyper-spectral remote sensing imaging systems are able to acquire several hundreds of spectral bands. Increasing spectral bands provide the more information for land cover and separate similarity classes and classification accuracy potentially could increase. Nevertheless classification of hyper-spectral imagery by conventional classifiers suffers from Hughes phenomenon. Namely, by increasing...
Groups of robots collaboration system is an important issue in the field of groups of robotics research. In this paper, On the basis of Game theory and ant colony algorithms swarm intelligence, discussed the basic principles of group robot cooperative system; established a group of robot cooperative system structure and received its control strategy. We use experimental system in collaboration with...
This paper presents a hybrid clustering algorithm based on density and ant colony algorithm, that to determine the initial cluster centers according to cluster objects distribution density method, and then use the swarm intelligence and randomness of ant colony algorithm to find that arbitrary shape of clusters, to avoid falling into local convergence, to get a relatively stable global optimal solution...
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...
Knowledge discovery has become of great importance owing to ever-increasing amounts of data collected by large organizations. This paper presents a knowledge discovery method called ant system, which is implemented by improving ant colony algorithm. Through specific application it has been proved that the algorithm is practical in knowledge discovery , and is a good method of knowledge discovery which...
Traffic signal control is an effective way to regulate traffic flow to avoid conflict and reduce congestion. The ACO (Ant Colony Optimization) algorithm is an optimization technique based on swarm intelligence. This research investigates the application of ACO to traffic signal control problem. The decentralized, collective, stochastic, and self-organization properties of this algorithm fit well with...
Recent development has a tremendous growth in the ad-hoc wireless networks. Ad-hoc wireless networks are dynamic topology networks organized by a collection of mobile nodes that utilize multi-hop radio relaying and are capable of operating without the support of any fixed infrastructure. Ad-hoc wireless networks are very useful in emergency operations, collaborative and distributed computing and military...
Ant Colony Algorithm is a very good combination optimization method from mimic the swarm intelligence of ant colony behaviours. To extend the traditional Ant Colony Algorithm to continuous optimization problems, from the connections of continuous optimization and searching process of Ant Colony Algorithm, here one new Continuous Ant Colony Algorithm is proposed. To verify the new algorithm, the typical...
Utilizing the advantages of wireless sensor network, sensor fusion for building occupancy grid map using probabilistic sensor model and ant colony algorithm using bionic swarm intelligence, an online real-time path planning algorithm for mobile nodes under unknown dynamic environment is proposed through three level planning control strategy. A practical implementation has been carried out to demonstrate...
In response to the disadvantages of the classical ant colony algorithm in path planning problem, an improved ant colony algorithm was proposed which combined classical algorithm with map-traveling strategy, to solve the problem that how multi-robots cooperated to search for food under the unknown environment. The thinking of method was explained, and the searching process was simulated and shown through...
How to manage trust is regarded as a main problem of security issues in P2P overlay networks. Reputation-based trust management is regarded as a promising way to solve the problem. However, in P2P systems, obtaining reputation evidence for building trust relationships is not an easy job. We tackle this problem by employing a scheme for the distribution of reputation evidence, which is based on the...
This paper designs a kind of binary colony algorithm. Each ant stands at the former place to form one dimension linear queue to transfer the signal each other. While the signal passes through each ant, the ant randomly chooses state (0 or 1) according to its own pheromone. By adopting the binary coding, the need for single ant behavior is lower and the corresponding memory is relatively less. This...
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