Name
Title | ||
|---|---|---|
Estimation of distribution algorithm combined with chaotic sequence for dynamic optimisation problems. |
Abstract | ||
|---|---|---|
To track the optima in dynamic environments with estimation of distribution algorithm, maintenance of the diversity of the population is an essential requirement. Taking this point into consideration, this paper proposes an estimation of distribution algorithm combined with a chaotic sequence CEDA for dynamic optimisation problems. In CEDA, a chaotic sequence is introduced to maintain the diversity of population and enhance improve the local search ability. Many numerical experiments are reported in order to compare the performance of the CEDA with the self-adaptive approach by other authors. The numerical results show that the performance of our algorithm is superior to that of other published algorithms on two dynamic benchmark problems. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1504/IJCSM.2017.083140 | IJCSM |
Keywords | Field | DocType |
estimation of distribution algorithm, chaotic sequence, dynamic optimisation problems | Population,Mathematical optimization,Estimation of distribution algorithm,Population diversity,Local search (optimization),Chaotic,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 1 | 1752-5055 |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fahong Yu | 1 | 17 | 5.17 |
| Wenping Li | 2 | 4 | 1.09 |
| Jiang Tao | 3 | 4 | 0.75 |
| Kun Deng | 4 | 16 | 2.40 |
| Long-hua Ma | 5 | 132 | 17.89 |
| Feng He | 6 | 10 | 3.40 |