Name
Abstract | ||
|---|---|---|
We show that knowledge-based techniques are as effective as mathematical techniques when satisfying constraints for solving manpower allocation problems. These techniques can be used to fulfill the corresponding local and global constraints based on the dynamic programming algorithm. It uses tools borrowed from genetic and simulated annealing algorithms, and fuzzy logic methodologies. The schedules produced by our algorithm match the best schedules produced by human experts. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/3-540-44863-2_11 | International Conference on Computational Science |
Keywords | Field | DocType |
constraints satisfaction,knowledge-based technique,mathematical technique,fuzzy logic methodology,human expert,global constraint,simulated annealing algorithm,best schedule,satisfying constraint,manpower allocation problem,dynamic programming algorithm,knowledge base,satisfiability,fuzzy logic,genetics,constraint satisfaction | Simulated annealing,Constraint satisfaction,Dynamic programming,Mathematical optimization,Computer science,Constraint programming,Fuzzy logic,Constraint satisfaction problem,Schedule,Constraint logic programming | Conference |
Volume | ISSN | ISBN |
2659 | 0302-9743 | 3-540-40196-2 |
Citations | PageRank | References |
1 | 0.40 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khaireel A. Mohamed | 1 | 6 | 2.83 |
| Amitava Datta | 2 | 734 | 81.63 |
| Ryszard Kozera | 3 | 163 | 26.54 |