Asymptotic Optimality of the Greedy Patching Heuristic for Max TSP in Doubling Metrics

01/11/2022
by   Vladimir Shenmaier, et al.
0

The maximum traveling salesman problem (Max TSP) consists of finding a Hamiltonian cycle with the maximum total weight of the edges in a given complete weighted graph. We prove that, in the case when the edge weights are induced by a metric space of bounded doubling dimension, asymptotically optimal solutions of the problem can be found by the simple greedy patching heuristic. Taking as a start point a maximum-weight cycle cover, this heuristic iteratively patches pairs of its cycles into one minimizing the weight loss at each step.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/15/2020

Efficient PTAS for the Maximum Traveling Salesman Problem in a Metric Space of Fixed Doubling Dimension

The maximum traveling salesman problem (Max TSP) is one of the intensive...
research
06/14/2019

Matroidal Approximations of Independence Systems

Milgrom (2017) has proposed a heuristic for determining a maximum weight...
research
03/10/2022

Algorithms for the Maximum Eulerian Cycle Decomposition Problem

Given an Eulerian graph G, in the Maximum Eulerian Cycle Decomposition p...
research
09/02/2022

Analysis of a Greedy Heuristic for the Labeling of a Map with a Time-Window Interface

In this paper, we analyze the approximation quality of a greedy heuristi...
research
06/18/2019

On the Constrained Least-cost Tour Problem

We introduce the Constrained Least-cost Tour (CLT) problem: given an und...
research
10/29/2020

Iteratively reweighted greedy set cover

We empirically analyze a simple heuristic for large sparse set cover pro...
research
06/11/2006

A New Quartet Tree Heuristic for Hierarchical Clustering

We consider the problem of constructing an an optimal-weight tree from t...

Please sign up or login with your details

Forgot password? Click here to reset