Improved Approximation Algorithms for the Expanding Search Problem

01/09/2023
by   Svenja M. Griesbach, et al.
0

A searcher faces a graph with edge lengths and vertex weights, initially having explored only a given starting vertex. In each step, the searcher adds an edge to the solution that connects an unexplored vertex to an explored vertex. This requires an amount of time equal to the edge length. The goal is to minimize the vertex-weighted sum of the exploration times over all vertices. We show that this problem is hard to approximate and provide algorithms with improved approximation guarantees. For the case that all vertices have unit weight, we provide a 2e-approximation. For the general case, we give a (5e/2+ε)-approximation for any ε > 0. Previously, for both cases only an 8-approximation was known. Finally, we provide a PTAS for the case of a Euclidean graph.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/20/2020

The K-Centre Problem for Necklaces

In graph theory, the objective of the k-centre problem is to find a set ...
research
06/23/2020

Approximation algorithms for general cluster routing problem

Graph routing problems have been investigated extensively in operations ...
research
05/05/2023

Sum-of-Local-Effects Data Structures for Separable Graphs

It is not difficult to think of applications that can be modelled as gra...
research
11/20/2019

Exact and approximation algorithms for the expanding search problem

Suppose a target is hidden in one of the vertices of an edge-weighted gr...
research
06/20/2020

Cycle-based formulations in Distance Geometry

The distance geometry problem asks to find a realization of a given simp...
research
01/19/2019

Approximation Algorithms for the A Priori TravelingRepairman

We consider the a priori traveling repairman problem, which is a stochas...
research
11/25/2019

Downgrading to Minimize Connectivity

We study the problem of interdicting a directed graph by deleting nodes ...

Please sign up or login with your details

Forgot password? Click here to reset