Name
Abstract | ||
|---|---|---|
Selecting runtime parameters while applying Genetic Algorithm is a crucial decision. Numerous theoretical and empirical researches are performed and guidelines are suggested on this, researches are conducted but still an overall acceptable guideline is lacking. In this work the parameters are discussed with reference to the existing literature and suggested a guideline to follow for initial setup based on literature. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICIT.2015.38 | 2015 International Conference on Information Technology (ICIT) |
Keywords | Field | DocType |
Genetic Algorithm,Optimization,Application,Key Decision Points,crossover,mutation | Data mining,Genetic operator,Computer science,Meta-optimization,Genetic representation,Linear programming,Artificial intelligence,Guideline,Quality control and genetic algorithms,Population-based incremental learning,Machine learning,Genetic algorithm | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biplab Mahapatra | 1 | 0 | 0.34 |
| Sanjay Mohapatra | 2 | 0 | 0.34 |