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...
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| 格式: | Thesis |
| 語言: | English |
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2008.
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