Name
Abstract | ||
|---|---|---|
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshold, can generally be improved upon if one has some qualitative information about the landscape. In particular, we show in the case of multiple optima (signals) how mutation affects which signal dominates and how passing between the dominance of one to another depends on the relative height and size of the peaks and their relative positions in the configuration space. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1143997.1144201 | GECCO |
Keywords | Field | DocType |
qualitative information,relative height,error threshold,relative position,different search metrics,multiple optimum,different mutation rate,configuration space,genetic search,universal heuristics,genetic algorithms,mutation rate,genetics,selection,genetic algorithm | Effective fitness,Error threshold,Mathematical optimization,Mutation rate,Computer science,Mutation (genetic algorithm),Heuristics,Genetic algorithm,Configuration space,Mutation | Conference |
ISBN | Citations | PageRank |
1-59593-186-4 | 11 | 1.10 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Cervantes | 1 | 41 | 2.66 |
| C. R. Stephens | 2 | 11 | 1.10 |