Name
Title | ||
|---|---|---|
An Orthogonal Evolutionary Algorithm With Learning Automata for Multiobjective Optimization. |
Abstract | ||
|---|---|---|
Research on multiobjective optimization problems becomes one of the hottest topics of intelligent computation. In order to improve the search efficiency of an evolutionary algorithm and maintain the diversity of solutions, in this paper, the learning automata (LA) is first used for quantization orthogonal crossover (QOX), and a new fitness function based on decomposition is proposed to achieve the... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCYB.2015.2503433 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Optimization,Evolutionary computation,Learning automata,Quantization (signal),Genetic algorithms,Yttrium,Algorithm design and analysis | Journal | 46 |
Issue | ISSN | Citations |
12 | 2168-2267 | 3 |
PageRank | References | Authors |
0.37 | 36 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| chunhua dai | 1 | 3 | 0.37 |
| Yonggang Wang | 2 | 41 | 5.71 |
| m ye | 3 | 3 | 0.37 |
| Xiaonan Xue | 4 | 4 | 1.41 |
| houlin liu | 5 | 3 | 0.37 |