Name
Abstract | ||
|---|---|---|
This paper constructs discrete-time and continuous-time dynamical system expected value and innite population models for steady-state genetic and evolutionary search algorithms. Conditions are given under which the discrete-time expected value models converge to the continuous-time models as the population size goes to innit y. Existence and uniqueness theorems are proved for solutions of the continuous-time models. The xed points of these models and their asymptotic stability are compared. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1016/B978-155860734-7/50094-9 | FOGA |
Keywords | Field | DocType |
search algorithm,discrete time,asymptotic stability,genetics,dynamic system,population model,population size,expected value | Uniqueness,Mathematical optimization,Search algorithm,Infinity,Expected value,Exponential stability,Fixed point,Population model,Dynamical system,Mathematics | Conference |
ISSN | Citations | PageRank |
Foundations of Genetic Algorithms 2006 | 5 | 0.58 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alden H. Wright | 1 | 330 | 45.58 |
| Jonathan E. Rowe | 2 | 458 | 56.35 |