Name
Title | ||
|---|---|---|
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. |
Abstract | ||
|---|---|---|
Ant colony optimization is a swarm intelligence metaheuristic inspired by the foraging behavior of some ant species. Ant colony optimization has been successfully applied to challenging optimization problems. This article investigates existing ant colony optimization algorithms specifically designed for combinatorial optimization problems with a dynamic environment. The investigated algorithms are... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MCI.2019.2954644 | IEEE Computational Intelligence Magazine |
Keywords | Field | DocType |
Heuristic algorithms,Ant colony optimization,Classification algorithms,Particle swarm optimization,Benchmark testing | Ant colony optimization algorithms,Combinatorial optimization problem,Computer science,Swarm intelligence,Travelling salesman problem,Artificial intelligence,Test case,Optimization problem,Metaheuristic | Journal |
Volume | Issue | ISSN |
15 | 1 | 1556-603X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michalis Mavrovouniotis | 1 | 332 | 16.15 |
| Shengxiang Yang | 2 | 3703 | 185.98 |
| Mien Van | 3 | 0 | 0.34 |
| Changhe Li | 4 | 1044 | 43.37 |
| Marios Polycarpou | 5 | 2020 | 206.96 |