The equivalence between two classic algorithms for the assignment problem

10/08/2018
by   Carlos A. Alfaro, et al.
0

We give a detailed review of two algorithms that solve the minimization case of the assignment problem. The Bertsekas' auction algorithm and the Goldberg & Kennedy algorithm. We will show that these algorithms are equivalent in the sense that both perform equivalent steps in the same order. We also present experimental results comparing the performance of three algorithms for the assignment problem. They show the auction algorithm performs and scales better in practice than algorithms that are harder to implement but have better theoretical time complexity.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/01/2022

Optimal Parametrization and Comparative Analysis of Preallocation Methods for Combinatorial Auction-Based Channel Assignment

Algorithms based on combinatorial auction (CA) show significant potentia...
research
08/28/2017

A Double Auction Mechanism for Mobile Crowd Sensing with Data Reuse

Mobile Crowd Sensing (MCS) is a new paradigm of sensing, which can achie...
research
04/08/2019

Collision-aware Task Assignment for Multi-Robot Systems

We propose a novel formulation of the collision-aware task assignment (C...
research
02/18/2020

Constrained Multiagent Rollout and Multidimensional Assignment with the Auction Algorithm

We consider an extension of the rollout algorithm that applies to constr...
research
09/01/2020

A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem

A benchmark for multi-UAV task assignment is presented in order to evalu...
research
05/22/2019

Efficient Multi-Resource, Multi-Unit VCG Auction

We consider the optimization problem of a multi-resource, multi-unit VCG...
research
11/14/2019

A guide through the Open-Box system: Room and Proctor Intelligent Decider RaPID-Ω

We present the documentation and mathematical modeling of the open-box s...

Please sign up or login with your details

Forgot password? Click here to reset