Name
Title | ||
|---|---|---|
Improved continuous Ant Colony Optimization algorithms for real-world engineering optimization problems. |
Abstract | ||
|---|---|---|
The Ant Colony Optimization (ACO) algorithm is a well-known optimization method that has been successfully applied to solve many difficult discrete optimization problems. A decade ago, a variant of ACO, called ACOR, was developed for continuous search spaces. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.engappai.2019.08.009 | Engineering Applications of Artificial Intelligence |
Keywords | Field | DocType |
Ant Colony Optimization,Metaheuristics,Stochastic search,Real-world optimization,Continuous optimization,Lévy flights | Ant colony optimization algorithms,Mathematical optimization,Computer science,Local search (optimization),Discrete optimization problem,Engineering optimization | Journal |
Volume | ISSN | Citations |
85 | 0952-1976 | 2 |
PageRank | References | Authors |
0.35 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahamed G. H. Omran | 1 | 648 | 35.28 |
| Salah al-Sharhan | 2 | 106 | 13.21 |