Name
Abstract | ||
|---|---|---|
Circular regulation is an important law of bionomics. Simulated annealing genetic algorithm is an effective method of improving genetic algorithm. Combining circular strategy with simulated annealing genetic algorithm efficiently, a novel simulated annealing genetic algorithm applying circular strategy is proposed. And it is justified according to schema evolution analysis and convergence analysis. It can not only assure the capability of global convergence, but also accelerate the evolution of colony and acquire the satisfactory global optimal solution. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34041-3_70 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Circular Strategy,Genetic Algorithm,Global Convergence,Golden Section | Simulated annealing genetic algorithms,Convergence (routing),Computer science,Effective method,Algorithm,Adaptive simulated annealing,Schema evolution,Genetic algorithm | Conference |
Volume | ISSN | Citations |
308 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bing Han | 1 | 36 | 11.27 |
| Junna Jiang | 2 | 2 | 1.57 |
| Xinchun Wang | 3 | 1 | 2.78 |