Abstract
Individual evolution is based on its fitness in Genetic Algorithm, but its living environment and relationship with other parts aren't involved. Enlightened by the knowledge of ecological environment and population competition, a new co-evolution model is proposed, which is based on ecological population competition model. The experiment results show the high efficiency of the improved Genetic Algorithms based on this model in solving premature convergence and accelerating the convergence.
| Original language | English |
|---|---|
| Pages (from-to) | 556-562 |
| Number of pages | 7 |
| Journal | Ruan Jian Xue Bao/Journal of Software |
| Volume | 12 |
| Issue number | 4 |
| State | Published - Apr 2001 |
| Externally published | Yes |
Keywords
- Ecological environment
- Ecological population competition
- Genetic algorithm
- Population density
- Premature convergence
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