Name
Title | ||
|---|---|---|
Particle Swarm Optimization Algorithm With Self-Organizing Mapping for Nash Equilibrium Strategy in Application of Multiobjective Optimization |
Abstract | ||
|---|---|---|
In this article, the Nash equilibrium strategy is used to solve the multiobjective optimization problems (MOPs) with the aid of an integrated algorithm combining the particle swarm optimization (PSO) algorithm and the self-organizing mapping (SOM) neural network. The Nash equilibrium strategy addresses the MOPs by comparing decision variables one by one under different objectives. The randomness o... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3027293 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Games,Nash equilibrium,Particle swarm optimization,Convergence,Pareto optimization,Neural networks | Journal | 32 |
Issue | ISSN | Citations |
11 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 24 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenhui Zhao | 1 | 0 | 1.01 |
| Donghui Guo | 2 | 107 | 21.93 |