Research Output per year
In this paper a Multi-Population Inflationary Differential Evolution algorithm with Adaptive Local Restart is presented and extensively tested over more than fifty test functions from the CEC 2005, CEC 2011 and CEC 2014 competitions. The algorithm combines a multi-population adaptive Differential Evolution with local search and local and global restart procedures. The proposed algorithm implements a simple but effective mechanism to avoid multiple detections of the same local minima. The novel mechanism allows the algorithm to decide whether to start or not a local search. The local restart of the population, which follows the local search, is, therefore, automatically adapted.
|Title of host publication||2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings|
|Number of pages||8|
|Publication status||Published - 10 Sep 2015|
|Event||IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan|
Duration: 25 May 2015 → 28 May 2015
|Conference||IEEE Congress on Evolutionary Computation, CEC 2015|
|Period||25/05/15 → 28/05/15|
- global optimization
- differential evolution
- multi-population algorithm
- adaptive algorithm
Vasile, M. & Minisci, E., 15 Jul 2019, In : Soft Computing. 31 p.
Research output: Contribution to journal › Article
Di Carlo, M., Vasile, M., & Minisci, E. (2015). Multi-population inflationary differential evolution algorithm with adaptive local restart. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 632-639).  https://doi.org/10.1109/CEC.2015.7256950