Name
Abstract | ||
|---|---|---|
A hybrid genetic algorithm (GA) is proposed for the optimal sorting network problem. Based on a graph-theoretical viewpoint, we devised a solution repair heuristic which incorporates a strong local optimization. We also propose a new encoding scheme which combines the characteristics of Lamarckian and Baldwinian GAs. Using a single-CPU PC, we obtained results comparable to previous results obtained with supercomputers. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TEVC.2004.841682 | IEEE Trans. Evolutionary Computation |
Keywords | Field | DocType |
single-cpu pc,strong local optimization,previous result,hybrid genetic algorithm,solution repair heuristic,baldwinian gas,optimal sorting network problem,graph-based lamarckian-baldwinian hybrid,lamarckian baldwinian hybrid encoding,sorting,new encoding scheme,genetic algorithms,graph theory,network problem,graph-theoretical viewpoint,sorting network | Graph theory,Sorting network,Heuristic,Supercomputer,Computer science,Algorithm,Sorting,Artificial intelligence,Local search (optimization),Genetic algorithm,Machine learning,Encoding (memory) | Journal |
Volume | Issue | ISSN |
9 | 1 | 1089-778X |
Citations | PageRank | References |
10 | 0.82 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sung-Soon Choi | 1 | 112 | 11.03 |
| Byung-Ro Moon | 2 | 844 | 58.71 |