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A hybrid algorithm of converse ant colony optimization (HCACO) was proposed by Markov chain theory, which was applied to enhance the performance of the intelligence optimization algorithm for resolving Job Shop Scheduling Problem and overcome the disadvantages of the slow convergence speed and stagnation behavior when solving Job Shop Scheduling Problem as well. In order to improve the probability...
An XML publish/subscribe system is based on filtering XML message streams for a large number of subscriptions expressed in XPath. A major issue on an XML-based publish/subscribe system is its performance. As the number of XML documents and XPath-based subscriptions increases in the system, to provide XML filtering efficiently becomes a challenging problem. Hence, there is an urgent need for optimization...
A hybrid algorithm of converse ant colony optimization (HCACO) is proposed, which is used to overcome the disadvantages of the slow convergence speed and stagnation behavior when solving job shop problem (JSP). In order to improve the probability of escaping from the local optimization, we induct converse ants into the ant colony. At the same time, each solution of ACO with certain probability pursues...
In this paper, a fuzzy Markov random field (FMRF) model is used to segment land-objects into tree, grass, building, and road regions by fusing remotely sensed LIDAR data and co-registered color bands, i.e. scanned aerial color (RGB) photo and near infra-red (NIR) photo. An FMRF model is defined as a Markov random field (MRF) model in a fuzzy domain. Three optimization algorithms in the FMRF model,...
Peer-to-peer (P2P) architectures make each network node capable of being both a client and a server. Such a network is potentially powerful for developing large-scale distributed information sharing. This paper presents our recent research work on the P2P hybrid information retrieval based on ant colony algorithm (ACA). From various perspectives, our work focuses on how to improve retrieval efficiency...
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