Name
Abstract | ||
|---|---|---|
In many expensive or time consuming engineering problems, like antenna design problems, it is unpractical to use the evolutionary algorithms directly. In recent years, Gaussian process has attracted more and more attention and had some successful applications. To further accelerate the speed of antenna design optimization process, a Gaussian process and fuzzy clustering assisted differential evolution algorithm(GPFCDEA) is presented in this paper. Four benchmark functions and two antenna design problems are selected as examples. Experimental results indicate that GPFCDEA performs much better than DE for low dimensions problems. However, for high dimensions problems, the performance of GPFCDEA still needs further research. |
Year | Venue | Field |
|---|---|---|
2015 | ISICA | Fuzzy clustering,Evolutionary algorithm,Computer science,Algorithm,Differential evolution,Antenna design,Gaussian process,Differential evolution algorithm |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jincheng Zhang | 1 | 0 | 0.68 |
| Sanyou Zeng | 2 | 394 | 42.60 |
| Yuhong Jiang | 3 | 37 | 5.90 |
| Xi Li | 4 | 22 | 12.44 |