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This work analyzes the Real-coded Clonal Selection Algorithm (RCSA) for mono objective optimization in electromagnetics. This algorithm presents a set of features enabling global search as well as the local improvement of the candidate solutions. An analysis of the sensitivity of the algorithm to its basic parameters shows that it is possible to suggest a basic configuration for the RCSA, narrowing the range of variation of the input parameters and simplifying the use of the algorithm. Results obtained on a test problem show that this algorithm is able to find higher-quality solutions, and also presents fasterconvergence than similar approaches for the problem considered.
|Title of host publication||SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications|
|Number of pages||6|
|Publication status||Published - 1 Dec 2008|
|Event||2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan|
Duration: 25 Jun 2008 → 27 Jun 2008
|Conference||2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08|
|Period||25/06/08 → 27/06/08|
- Artificial immune systems
- Optimization and design
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- 1 Participation in conference
Felipe Campelo Franca Pinto (Participant)2008
Activity: Participating in or organising an event types › Participation in conference