Convex coverage set methods for multi-objective collaborative decision makingDiederik Roijers
support (VELS), a new multi-objective algorithm for multi-agent coordination that exploits loose couplings to compute the convex coverage set (CCS): the set of optimal solutions for all possible weights for linearly weighted objectives... Diederik M. Roijers,S Whiteson,Frans A. Oliehoek - Ad...
9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook Thesaurus Wikipedia Related to convex shape:Convex function ThesaurusAntonymsRelated WordsSynonymsLegend: Switch tonew thesaurus Noun1.convex shape- a shape that curves or bulges outward ...
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graph-algorithmsastarpathfindingpolygon-intersectioncomputational-geometryconvex-hullvoronoi-diagramvoronoidelaunay-triangulationconvex-hull-algorithmsflood-fillpoint-in-polygonastar-pathfindingplanar-subdivisionpath-coverageline-of-sightdcel-subdivisionquadrant-tree ...
graph-algorithms astar pathfinding polygon-intersection computational-geometry convex-hull voronoi-diagram voronoi delaunay-triangulation convex-hull-algorithms flood-fill point-in-polygon astar-pathfinding planar-subdivision path-coverage line-of-sight dcel-subdivision quadrant-tree Updated Jul 19, 2021 Java...
Performing coverage on nonconvex domains - a convex region from which a finite (possibly empty) set of points has been subtracted. The transformation allows us to solve the coverage problem using ... CH Caicedo-Nunez,M Zefran - IEEE International Conference on Control Applications 被引量: 73发...
Note that we manually check the identified linear assignments to find possible false positives, and add the newly discovered non-linear operator to OP, and perform the above classification again to improve the coverage and soundness of non-linear assignments. We observe that most applications from ...
all the regions in matched normal sample, with less than an average coverage of 10 are eliminated in both tumour and normal data sets. however, the useful signal to be used in cnv detection is depleted by the noise present in data itself. this can be attributed to the gc content bias, ...
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