Abstract
As a fundamental operator in genetic algorithms (GAs), crossover may not only make an existing schema survive, but also construct a new one from other existing schemata. Unfortunately, the existing schema theorems do not exactly quantify the positive effects of schema construction by a crossover. Consequently, they cannot well characterize the evolution of a schema. In this paper, a new ternary representation is proposed through which the survival and construction of a schema for any crossover operator can be distinguished easily. Subsequently, the probabilities that a schema will survive and be constructed from other schemata can be estimated for an arbitrary crossover. As a result, we present four new schema theorems, through which the survival and construction abilities of different crossover operations are easier to be compared. Moreover, these results generalize the existing schema theorems.
| Original language | English |
|---|---|
| Pages (from-to) | 343-360 |
| Number of pages | 18 |
| Journal | Intelligent Automation and Soft Computing |
| Volume | 15 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jan 2009 |
User-Defined Keywords
- Genetic Algorithrn
- Schema Construction
- Schema Survival
- Schema Theorem