Name
Title | ||
|---|---|---|
A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems |
Abstract | ||
|---|---|---|
A cultural algorithm, together with a set of new operators for the timetabling problem(TP), is proposed in this paper. The new operators extract information about the problem during the evolutionary process, and they are combined with some previously proposed operators, in order to improve the performance of the algorithm. The proposed algorithm is tested with a benchmark of 20 instances, and compared with respect to three other algorithms: two evolutionary algorithms and a simulated annealing algorithm which won an international competition on TP. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72950-1_79 | IFSA (1) |
Keywords | Field | DocType |
operator parameters control,international competition,evolutionary process,simulated annealing algorithm,new operator,cultural algorithm,timetabling problem,evolutionary algorithm,proposed algorithm,timetabling problems | Memetic algorithm,Simulated annealing,Mathematical optimization,Evolutionary algorithm,Computer science,FSA-Red Algorithm,Operator (computer programming),Artificial intelligence,Cultural algorithm,Evolutionary programming,Population-based incremental learning,Machine learning | Conference |
Volume | ISSN | Citations |
4529 | 0302-9743 | 3 |
PageRank | References | Authors |
0.43 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Soza | 1 | 17 | 1.55 |
| Ricardo Landa Becerra | 2 | 184 | 18.30 |
| María Cristina Riff | 3 | 200 | 23.91 |
| Carlos Coello | 4 | 3 | 0.43 |