Name
Abstract | ||
|---|---|---|
This paper proposes an efficient hybrid approach based on the stochastic competitive Hopfield neural network(SCHNN) and artificial bee colony (ABC), which named SCH-ABC. The hybrid algorithm aims to cope with the frequency assignment problem (FAP). The objective of FAP is to minimize the cochannel interference between satellite communication systems by rearranging the frequency assignments so that they can accommodate the increasing demands. In fact, as our SCH-ABC algorithm owns good adaptability, it can not only deal with the frequency assignment problem, but also cope with other problems including the clustering, classification, the maximum clique problem etc. With the help of hybridization, SCH-ABC makes up for the defects in the Hopfield neural network and ABC while fully utilizing the advantages of the two algorithms. © Springer-Verlag 2013. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-42042-9_65 | ICONIP |
Keywords | Field | DocType |
artificial bee colony,frequency assignment problem,hybrid algorithm,neural network | Frequency assignment problem,Adaptability,Hybrid algorithm,Computer science,Generalized assignment problem,Artificial intelligence,Interference (wave propagation),Cluster analysis,Artificial neural network,Clique problem | Conference |
Volume | Issue | ISSN |
8227 LNCS | PART 2 | 16113349 |
Citations | PageRank | References |
1 | 0.39 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Yang | 1 | 32 | 9.38 |
| Shaohui Wu | 2 | 4 | 1.14 |
| JiePing Xu | 3 | 45 | 9.72 |
| Xirong Li | 4 | 1191 | 68.62 |