Name
Abstract | ||
|---|---|---|
The encoding or representation scheme in evolutionary algorithms is very important because it can greatly affect their performance. Most previous evolutionary algorithms for solving graph problems have traditionally used a vertex-based encoding in which each gene corresponds to a vertex. In this paper, addressing the well-known maximum cut problem, we introduce an edge-set encoding based on the sp... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TEVC.2014.2338076 | IEEE Transactions on Evolutionary Computation |
Keywords | Field | DocType |
Encoding,Genetic algorithms,Vectors,Educational institutions,Approximation algorithms,Biological cells,Evolutionary computation | Approximation algorithm,Mathematical optimization,Vertex (geometry),Evolutionary algorithm,Evolutionary computation,Move-to-front transform,Spanning tree,Mathematics,Maximum cut,Encoding (memory) | Journal |
Volume | Issue | ISSN |
19 | 4 | 1089-778X |
Citations | PageRank | References |
4 | 0.46 | 32 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kisung Seo | 1 | 141 | 18.95 |
| Soohwan Hyun | 2 | 24 | 4.18 |
| Yong-Hyuk Kim | 3 | 355 | 40.27 |