In this paper, an adaptive version of Inflationary Differential Evolution is presented and tested on a set of real case problems taken from the CEC2011 competition on realworld applications. Inflationary Differential Evolution extends standard Differential Evolution with both local and global restart procedures. The proposed adaptive algorithm utilizes a probabilistic kernel based approach to automatically adapt the values of both the crossover and step parameters. In addition the paper presents a sensitivity analysis on the values of the parameters controlling the local restart mechanism and their impact on the solution of one of the hardest problems in the CEC2011 test set.
|Number of pages||8|
|Publication status||Published - 6 Jul 2014|
|Event||CEC 2014: IEEE Conference on Evolutionary computation - Beijing, China|
Duration: 6 Jul 2014 → 11 Jul 2014
|Period||6/07/14 → 11/07/14|
- adaptive algorithms
- differential evolution