Minimum Constraint Removal Problem for Line Segments is NP-hard
Bahram Sadeghi Bigham

TL;DR
This paper proves that the Minimum Constraint Removal problem for line segments is NP-hard, extending the known complexity results from arbitrary shapes to the specific case of line segments.
Contribution
It demonstrates NP-hardness of MCR for line segments using a reduction from the Subset Sum problem, filling a gap in the problem's complexity classification.
Findings
MCR for line segments is NP-hard.
NP-hardness holds for both weighted and unweighted line segments.
The problem's complexity is established through a reduction from Subset Sum.
Abstract
In the minimum constraint removal (), there is no feasible path to move from the starting point towards the goal and, the minimum constraints should be removed in order to find a collision-free path. It has been proved that problem is when constraints have arbitrary shapes or even they are in shape of convex polygons. However, it has a simple linear solution when constraints are lines and the problem is open for other cases yet. In this paper, using a reduction from Subset Sum problem, in three steps, we show that the problem is NP-hard for both weighted and unweighted line segments.
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Taxonomy
TopicsRobotic Path Planning Algorithms · Computational Geometry and Mesh Generation · Optimization and Search Problems
