Randomized Algorithm for the Maximum-Profit Routing Problem

05/13/2023
by   Bogdan Armaselu, et al.
0

In this paper, we consider the Maximum-Profit Routing Problem (MPRP), introduced in <cit.>. In MPRP, the goal is to route the given fleet of vehicles to pickup goods from specified sites in such a way as to maximize the profit, i.e., total quantity collected minus travelling costs. Although deterministic approximation algorithms are known for the problem, currently there is no randomized algorithm. In this paper, we propose the first randomized algorithm for MPRP.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/17/2020

An APX for the Maximum-Profit Routing Problem with Variable Supply

In this paper, we study the Maximum-Profit Routing Problem with Variable...
research
09/12/2021

Maximum-Profit Routing Problem with Multiple Vehicles per Site

We consider the Maximum-Profit Routing Problem (MPRP), a variant of pick...
research
07/19/2018

Distributed approximation algorithms for maximum matching in graphs and hypergraphs

We describe randomized and deterministic approximation algorithms in Lin...
research
08/25/2021

On the approximation of a matrix

Let F^* be an approximation of a given (a × b) matrix F derived by metho...
research
04/29/2021

Deterministic Algorithms for the Hidden Subgroup Problem

In this note, we present deterministic algorithms for the Hidden Subgrou...
research
06/23/2020

Approximation algorithms for general cluster routing problem

Graph routing problems have been investigated extensively in operations ...
research
06/25/2021

Extensions of the Maximum Bichromatic Separating Rectangle Problem

In this paper, we study two extensions of the maximum bichromatic separa...

Please sign up or login with your details

Forgot password? Click here to reset