Name
Abstract | ||
|---|---|---|
There is a great deal of information to begained from studying the details within aGA run. This paper investigates the rolesof crossover and mutation by observing theactions and effects of individual occurrencesof each genetic operation. The observationsare compared with some of the common expectationsof these operators.1 INTRODUCTIONThe most common way to test the usefulness of a geneticoperator has typically been to compare the performanceof a genetic algorithm (GA) with that... |
Year | Venue | Keywords |
|---|---|---|
1997 | ICGA | genetic operator,genetic algorithm |
Field | DocType | Citations |
Crossover,Computer science,Mutation (genetic algorithm),Genetics,Mutation | Conference | 20 |
PageRank | References | Authors |
1.53 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Annie S. Wu | 1 | 425 | 45.72 |
| Robert K. Lindsay | 2 | 338 | 45.20 |
| Rick L. Riolo | 3 | 563 | 64.22 |