A Hierarchical Algorithm Based on Density Peaks Clustering and Ant Colony Optimization for Traveling Salesman Problem
This paper proposed a hierarchical hybrid algorithm for traveling salesman problem (TSP) according to the idea of divide-and-conquer. The TSP problem is decomposed into a few subproblems with small-scale nodes by density peaks clustering algorithm. Every subproblem is resolved by ant colony optimiza...
Main Authors: | Erchong Liao, Changan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8404041/ |
Similar Items
-
Use of Ant Colony Optimization Algorithm for Determining Traveling Salesman Problem Routes
by: Bib Paruhum Silalahi, et al.
Published: (2019-10-01) -
The Application of Ant Colony Algorithm in Solve the Traveling Salesman Problem with Fuzzy Movement Time among Cities
by: Jamshid Salehi Sadaghiani
Published: (2010-10-01) -
Ant Colony Hyper-heuristics for Travelling Salesman Problem
by: Abd Aziz, Z
Published: (2015) -
Ant Colony Hyper-heuristics for Travelling Salesman Problem
by: Aziz, Z.A, et al.
Published: (2015) -
Elitist Ant System with 2-opt Local Search for the Traveling Salesman Problem
by: MARTINOVIC, G., et al.
Published: (2012-02-01)