2011
DOI: 10.15514/syrcose-2011-5-22
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The Problem of Placement of Visual Landmarks

Abstract: In recent years among developers of robotic software formed a direction of the development of individual solvers. Such solvers are designed for specific hard problems. In this paper we consider an approach to design of an efficient solver for the problem of placement of visual landmarks. Mathematics Subject Classification: 68T40

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Cited by 15 publications
(15 citation statements)
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“…We have consider our genetic algorithms OA [1] (see [24]), OA [2] (see [25]), OA [3] (see [26]), and OA [4] (see [27]) for SAT. We have used heterogeneous cluster.…”
Section: Theorem 2 Str-ic-lcps Is Np-complete Proof It Is Clear Thmentioning
confidence: 99%
“…We have consider our genetic algorithms OA [1] (see [24]), OA [2] (see [25]), OA [3] (see [26]), and OA [4] (see [27]) for SAT. We have used heterogeneous cluster.…”
Section: Theorem 2 Str-ic-lcps Is Np-complete Proof It Is Clear Thmentioning
confidence: 99%
“…We consider our genetic algorithms OA [1] (see [20]), OA [2] (see [21]), OA [3] [22]), and OA [4] (see [23]) for SAT. We used heterogeneous cluster.…”
Section: It Is Easy To Check That There Are a Set S ⊆ N And Function mentioning
confidence: 99%
“…We consider our genetic algorithms OA [1] (see [22]), OA [2] (see [23]), OA [3] (see [24]), and OA [4] (see [25]) for SAT. We used heterogeneous cluster.…”
Section: It Is Easy To Check That There Is a String S Such That |S| =mentioning
confidence: 99%