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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sanchez, E. Squillero, G. Tonda, A. |
| Copyright Year | 2011 |
| Description | Author affiliation: DAUIN, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy (Sanchez, E.; Squillero, G.; Tonda, A.) |
| Abstract | A huge number of optimization problems, in the CAD area as well as in many other fields, require a solution composed by a set of structurally homogeneous elements. Each element tackles a subset of the original task, and they cumulatively solve the whole problem. Sub-tasks, however, have exactly the same structure, and the splitting is completely arbitrary. Even the number of sub-tasks is not known and cannot be determined a-priori. Individual elements are structurally homogeneous, and their contribution to the main solution can be evaluated separately. We propose an evolutionary algorithm able to optimize groups of individuals for solving this class of problems. An individual of the best solution may be sub-optimal when considered alone, but the set of individuals cumulatively represent the optimal group able to completely solve the whole problem. Results of preliminary experiments show that our algorithm performs better than other techniques commonly applied in the CAD field. |
| Starting Page | 2662 |
| Ending Page | 2668 |
| File Size | 431791 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424478347 |
| e-ISBN | 9781424478354 |
| DOI | 10.1109/CEC.2011.5949951 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetics Steady-state Evolutionary computation Design automation Hardware design languages Hardware Optimization Coordinated Effort Evolutionary Algorithms Group Evolution Synergy |
| Content Type | Text |
| Resource Type | Article |
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