Improving Ant Colony Optimization Efficiency for Solving Large TSP Instances

03/04/2022
by   Rafał Skinderowicz, et al.
0

Ant Colony Optimization (ACO) is a family of nature-inspired metaheuristics often applied to finding approximate solutions to difficult optimization problems. Despite being significantly faster than exact methods, the ACOs can still be prohibitively slow, especially if compared to basic problem-specific heuristics. As recent research has shown, it is possible to significantly improve the performance through algorithm refinements and careful parallel implementation benefiting from multi-core CPUs and dedicated accelerators. In this paper, we present a novel ACO variant, namely the Focused ACO (FACO). One of the core elements of the FACO is a mechanism for controlling the number of differences between a newly constructed and a selected previous solution. The mechanism results in a more focused search process, allowing to find improvements while preserving the quality of the existing solution. An additional benefit is a more efficient integration with a problem-specific local search. Computational study based on a range of the Traveling Salesman Problem instances shows that the FACO outperforms the state-of-the-art ACOs when solving large TSP instances. Specifically, the FACO required less than an hour of an 8-core commodity CPU time to find high-quality solutions (within 1 the best-known results) for TSP Art Instances ranging from 100000 to 200000 nodes.

READ FULL TEXT

Authors

page 23

05/02/2017

An improved Ant Colony System for the Sequential Ordering Problem

It is not rare that the performance of one metaheuristic algorithm can b...
03/03/2015

On memetic search for the max-mean dispersion problem

Given a set V of n elements and a distance matrix [d_ij]_n× n among elem...
01/22/2020

Accelerating supply chains with Ant Colony Optimization across range of hardware solutions

Ant Colony algorithm has been applied to various optimization problems, ...
01/22/2019

On multi-robot search for a stationary object

Two variants of multi-robot search for a stationary object in a priori k...
04/24/2020

Faster Parallel Multiterminal Cuts

We give an improved branch-and-bound solver for the multiterminal cut pr...
09/06/2018

Fixed set search applied to the traveling salesman problem

In this paper we present a new population based metaheuristic called the...
02/04/2022

Faster exact solution of sparse MaxCut and QUBO problems

The maximum-cut problem is one of the fundamental problems in combinator...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.