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Project Details
| Department | Computer Science |
| Type | Project |
| Pages | 50 |
| Chapters | 5 |
| Format | MS Word & PDF |
| Reference No. | CPU0334 |
Abstract
Scheduling lectures and practical timetables for a large array of courses is a very complex problem which often has to be solved manually by the center staff even though results are not always fully optimal. Timetabling being a highly constrained combinational (pertaining to the combinations and arrangements of elements in sets) problem. This work attempts to put into play the effectiveness of evolutionary techniques based on Darwin’s theories to solve the timetabling problem if not fully optimal but near optimal. Genetic Algorithm is a popular meta-heuristic that has been successfully applie…
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Full material
₦ 5,000 $(29)
| Pages | 50 |
| Delivery | Instant, after payment |
