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XML data can be represented by a tree or graph and the query processing for XML data requires the structural information among nodes. Designing an efficient labeling scheme for the nodes of Order-Sensitive XML trees is one of the important methods to obtain the excellent management of XML data. Previous labeling schemes such as region and prefix often sacrifice updating performance and suffer increasing...
Selecting points using min-max strategy can guarantee uniformity of Pareto. But shortcomings are missing effective solutions and poor solutions being selected. By the analysis of choosing points with the min-max strategy and reasonable fitness metric, we propose a new evolutionary method choosing weights on points (point-to-weight). A large number of multi-objective optimization functions have been...
In this paper, a novel evolutionary algorithm for many-objective optimization is proposed. The algorithm adopts a new global ranking method to favor convergence and an improved crowding distance to maintain diversity, new elitist selection strategy Based on fitness evaluation is also designed to guide the search towards a representative approximation of the Pareto-optimal front. In order to validate...
This paper proposes to use the binary particle swarm optimization (BPSO) approach to solve the disjoint set covers (DSC) problem in the wireless sensor networks (WSN). The DSC problem is to divide the sensor nodes into different disjoint sets and schedule them to work one by one in order to save energy while at the same time meets the surveillance requirement, e.g., the full coverage. The objective...
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