Name
Title | ||
|---|---|---|
On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach |
Abstract | ||
|---|---|---|
Theoretical analysis of the properties of evolutionary algorithms is very important to understand their search behaviors and to develop more efficient algorithms. This article investigates the convergence properties of a canonical Differential Evolution (DE) algorithm with DE/rand/1 type mutation and binomial crossover. For simplicity and to provide an insight into the heuristics of the algorithm, the analysis has been done by assuming a single-dimensional fitness function f(x) . The analysis is independent of the nature of the objective function as long as it remains real-valued and possesses an unique global optimum (it may have multiple local optima as well). |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1830761.1830868 | GECCO (Companion) |
Keywords | Field | DocType |
convergence property,canonical differential evolution,control theoretic approach,continuous space,evolutionary algorithm,objective function,differential evolution,efficient algorithm,asymptotic convergence,search behavior,binomial crossover,theoretical analysis,multiple local optimum,single-dimensional fitness function,fitness function,asymptotic stability,convergence,probability density function | Convergence (routing),Mathematical optimization,Crossover,Evolutionary algorithm,Local optimum,Computer science,Fitness function,Differential evolution,Heuristics,Fitness approximation | Conference |
Citations | PageRank | References |
1 | 0.38 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sayan Ghosh | 1 | 237 | 16.12 |
| Swagatam Das | 2 | 6026 | 276.66 |
| Sanjoy Das | 3 | 226 | 39.18 |