An application of multiobjective particle swarm optimization to end-of-day historical stock trading
Stock traders consider several factors or objectives in making decisions. Moreover, they differ in the importance they attach to each of these objectives. This requires a tool that can provide an optimal tradeoff among different objectives, a problem aptly solved by a multiobjective optimization (MO...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2008.
|
| Subjects: |