Name
Title | ||
|---|---|---|
Literature review regarding Ant Colony Optimization applied to scheduling problems: Guidelines for implementation and directions for future research |
Abstract | ||
|---|---|---|
Ant Colony Optimization is a swarm intelligence approach that has proved to be useful in solving several classes of discrete and continuous optimization problems. One set, called scheduling problems, is extremely important both to academics and to practitioners. This paper describes how the current literature uses the ACO approach to solve scheduling problems. An analysis of the literature allows one to conclude that ACO is a hugely viable approach to solve scheduling problems. On the basis of the literature review, we were not only able to derive certain guidelines for the implementation of ACO algorithms but also to determine possible directions for future research. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.engappai.2012.03.011 | Eng. Appl. of AI |
Keywords | Field | DocType |
ant colony optimization,continuous optimization problem,certain guideline,current literature,viable approach,aco algorithm,swarm intelligence approach,literature review,aco approach | Continuous optimization,Ant colony optimization algorithms,Mathematical optimization,Computer science,Scheduling (computing),Swarm intelligence,Artificial intelligence,Metaheuristic | Journal |
Volume | Issue | ISSN |
26 | 1 | 0952-1976 |
Citations | PageRank | References |
24 | 0.81 | 38 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. F. Tavares Neto | 1 | 36 | 1.45 |
| Moacir Godinho Filho | 2 | 68 | 6.45 |