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Path planning algorithm for mobile robots based on clustering-obstacles and quintic trigonometric Bézier curve
Finding a collision-free feasible path for mobile robots is very important because they are essential in many fields such as healthcare, military,...
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Multiple k −opt evaluation multiple k −opt moves with GPU high performance local search to large-scale traveling salesman problems
The 2-opt, 3-opt or k –opt heuristics are classical local search algorithms for traveling salesman problems (TSP) in combinatorial optimization area,...
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Boolean factors as a means of clustering of interestingness measures of association rules
Measures of interestingness play a crucial role in association rule mining. An important methodological problem, on which several papers appeared in...
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SEON: a pyramid of ontologies for software evolution and its applications
The Semantic Web provides a standardized, well-established framework to define and work with ontologies. It is especially apt for machine processing....
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Pattern-driven green adaptation of process-based applications and their runtime infrastructure
Business processes are a key aspect of modern organization. In recent years, business process management and optimization has been applied to...
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Cloud computing for small research groups in computational science and engineering: current status and outlook
Cloud computing could offer good business models for small computational science and engineering (CSE) research groups because these groups often do...