Name
Abstract | ||
|---|---|---|
A new fitness-based individual migration operator after the model of a migration phenomenon in a natural ecosystem is presented. The relative fitness variations are evaluated for each individual and those are used to determine whether an individual migrate to a new solution candidate which is far from its original position. This migration guarantees the search diversity by the uniformly dispersed individuals on a search space at the initial phase of evolution and fast convergence by the migrated individuals as the evolution progresses. The usefulness of the migration operator has been tested using evolutionary programming (EP) which adopts the operator. The performance of the proposed EP has been compared with those of other well-known EP algorithms through benchmark problems on continuous function optimization. |
Year | Venue | Keywords |
|---|---|---|
2001 | Neural Parallel & Scientific Comp. | search diversity,migration phenomenon,well-known ep algorithm,new solution candidate,migration operator,search space,new fitness-based individual migration,new fitness-based migration operator,evolutionary programming,benchmark problem,proposed ep,migrated individual,optimization,migration |
Field | DocType | Volume |
Convergence (routing),Continuous function,Mathematical optimization,Evolutionary algorithm,Computer science,Fitness approximation,Operator (computer programming),Evolutionary programming | Journal | 9 |
Issue | Citations | PageRank |
2 | 1 | 0.47 |
References | Authors | |
5 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Doo-Hyun Choi | 1 | 65 | 12.25 |