Name
Abstract | ||
|---|---|---|
DE is an evolutionary computation technique which is of simple concept and easy implementation. A number of significant modifications of DE have been proposed in recent years, including a few approaches referring to the idea of population topology of DE. The present paper proposes a novel symbiosis co-evolutionary model based on the population topology of DE, namely SCoPTDE. In the model, based on a specific topology, the population is divided into small species. The individual symbiotic evolution between and in species. The presented modification is tested on commonly used benchmark problems CEC2005 for unconstrained optimization and compared with other DE methods with different population topology. The comparisons show that SCoPTDE improves the performance of DE, offering higher solution quality and stronger robustness. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CIS.2016.128 | PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) |
Keywords | Field | DocType |
Symbiosis, Multi-species coevolution, Population topology, Differential evolution | Evolution biology,Symbiotic evolution,Topology,Population,Mathematical optimization,Algorithm design,Computer science,Evolutionary computation,Robustness (computer science),Differential evolution | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||