We researched one search algorithm based on direction in the unstructured P2P network, analyzed the limited insufficiencies of this algorithm to the search speed, we proposed the improved direction search algorithm ba...
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To find an optimal elimination ordering for Bayesian networks, a multi-heuristic-based ant colony system named MHC-HS-ACS is proposed. MHC-HS-ACS uses a set of heuristics to guide the ants to search solutions. The heu...
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To find an optimal elimination ordering for Bayesian networks, a multi-heuristic-based ant colony system named MHC-HS-ACS is proposed. MHC-HS-ACS uses a set of heuristics to guide the ants to search solutions. The heuristic set can evolve with the searching procedure in an adaptive way. MHC-HS-ACS also utilizes a heuristic-based local search to accelerate its convergence. computational experiments show that MHC-HS-ACS can find very high quality solutions.
Vehicular ad hoc network (VANET) is a kind of self-organizing ad hoc network, which is specifically designed for communication among vehicles. In VANET, a source vehicle must rely on intermediate vehicles to forward i...
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According to the characteristics of the optimal elimination ordering problem in Bayesian networks, a heuristic-based genetic algorithm, a cooperative coevolutionary genetic framework and five grouping schemes are prop...
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According to the characteristics of the optimal elimination ordering problem in Bayesian networks, a heuristic-based genetic algorithm, a cooperative coevolutionary genetic framework and five grouping schemes are proposed. Based on these works, six cooperative coevolutionary genetic algorithms are constructed. Numerical experiments show that these algorithms are more robust than other existing swarm intelligence methods when solving the elimination ordering problem.
In this paper, a hybrid algorithm named DPSOSA is proposed to find near-to-optimal elimination orderings in Bayesian networks. DPSO-SA is a discrete particle swarm optimization method enhanced by simulated annealing. ...
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In this paper, a hybrid algorithm named DPSOSA is proposed to find near-to-optimal elimination orderings in Bayesian networks. DPSO-SA is a discrete particle swarm optimization method enhanced by simulated annealing. computational tests show that this hybrid method is very effective and robust for the elimination ordering problem.
In Deep Web, there are various methods of studying extraction of data records. After carefully reviewing and analyzing those methods, we find that the problem of dealing with either zero or fewer query results and nes...
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We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and two types of depth sensors. The reconstruction of a 3D model consists ...
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Deep Web contains a significant amount of visited information, in order to be able to make full use of the information, we need to organize it according to different domain. Therefore, it is imperative that Deep Web d...
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Through analyzing the security problems which exist in general on-line payment systems, this paper proposes a scheme based on WPKI (Wireless Public key Infrastructure) and further designs and implements a gas station ...
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Through analyzing the security problems which exist in general on-line payment systems, this paper proposes a scheme based on WPKI (Wireless Public key Infrastructure) and further designs and implements a gas station on-line payment system. By using WPKI technology which includes SSL (Secure Sockets Layer) protocol, digital signature and digital certificate, the designed on-line payment system can achieve data privacy, authenticity, integrity and non-repudiation during on-line payment process.
Schema matching is important for schema integration and thus has got great attention. In this paper, we present an ontology-based algorithm to match a larger number of interface schemas, which can hand both simple and...
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