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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cadenas, J.M. Garrido, M.C. Munoz, E. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. de Murcia, Murcia (Cadenas, J.M.; Garrido, M.C.; Munoz, E.) |
| Abstract | Hybrid systems give more flexible mechanisms for solving complex problems that can be very difficult to solve using less tolerant approaches. Therefore, a hybrid system will be the most suitable tool in order to cope with the algorithm-instance problem, which says that it is possible that an algorithm and its parameters that obtain good results for an instance of a problem, do not get the same results for another instance of the same problem. All this leads us to use different algorithms to solve combinatorial optimization problems within a single coordinated schema, that is a hybrid cooperative system of metaheuristics. In order to build this system we have proposed a methodology for the construction of a hybrid system, based on data mining and soft computing. In order to test the usefulness of this methodology two hybrid systems based on a fuzzy model have been constructed to solve the knapsack problem. The first system coordinates two metaheuristics, a genetic algorithm and a tabu search. The second one adds a third metaheuristic, simulated annealing, in order to check the robustness of the system and its capacity of obtaining higher quality solutions when a metaheuristic is added. Results obtained by this systems and a comparison with the ones obtained with individual metaheuristics are shown. |
| Starting Page | 120 |
| Ending Page | 125 |
| File Size | 152661 |
| Page Count | 6 |
| File Format | |
| DOI | 10.1109/HIS.2007.14 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-17 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy sets System testing Annealing Prototypes Cooperative systems Robustness Data mining Hybrid intelligent systems Fuzzy systems Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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