Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
496906 | Applied Soft Computing | 2011 | 8 Pages |
Abstract
This paper addresses the solution of timetabling problems using cultural algorithms. The core idea is to extract problem domain information during the evolutionary search, and then combine it with some previously proposed operators, in order to improve performance. The proposed approach is validated using a benchmark of 20 instances, and its results are compared with respect to three other approaches: two evolutionary algorithms and simulated annealing, all of which have been previously adopted to solve timetabling problems.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Carlos Soza, Ricardo Landa Becerra, María Cristina Riff, Carlos A. Coello Coello,