Name
Title | ||
|---|---|---|
Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art. |
Abstract | ||
|---|---|---|
In the last 20 years, evolutionary algorithms (EAs) have shown to be an effective method to solve multiobjective optimization problems (MOPs). Due to their population-based nature, multiobjective EAs (MOEAs) are able to generate a set of tradeoff solutions (called nondominated solutions) in a single algorithmic execution instead of having to perform a series of independent executions, as normally ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TEVC.2017.2767023 | IEEE Transactions on Evolutionary Computation |
Keywords | DocType | Volume |
Sociology,Evolutionary computation,Taxonomy,Pareto optimization,Computer science | Journal | 22 |
Issue | ISSN | Citations |
6 | 1089-778X | 14 |
PageRank | References | Authors |
0.53 | 26 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Miguel Antonio | 1 | 58 | 3.92 |
| C. A. Coello Coello | 2 | 5799 | 427.99 |