Name
Title | ||
|---|---|---|
Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control |
Abstract | ||
|---|---|---|
ABSTRACTThe paper proposes the Self-organizing Migrating Algorithm with CLustering-aided migration and adaptive Perturbation vector control (SOMA-CLP). The SOMA-CLP is the next iteration of the SOMA-CL algorithm, further enhanced by the linear adaptation of the prt control parameter used to generate a perturbation vector. The latest CEC 2021 benchmark set on a single objective bound-constrained optimization was used for the performance measurement of the improved variant. The proposed algorithm SOMA-CLP results were compared and tested for statistical significance against four other SOMA variants. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3449726.3463212 | Genetic and Evolutionary Computation Conference |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomas Kadavy | 1 | 20 | 20.97 |
| Michal Pluhacek | 2 | 217 | 47.34 |
| Adam Viktorin | 3 | 5 | 8.23 |
| Roman Senkerik | 4 | 375 | 74.92 |