| 鲁帆,蒋云钟,王浩,牛存稳.多智能体遗传算法用于马斯京根模型参数估计[J].水利学报,2007,38(3):289-294 |
| 多智能体遗传算法用于马斯京根模型参数估计 |
| Application of multi-agent genetic algorithm to parameter estimation of Muskingum Model |
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| DOI： |
| 中文关键词: 多智能体 遗传算法 洪水演算 马斯京根模型 参数估计 |
| 英文关键词: multi-agent genetic algorithm flood calculation Muskingum model parameter estimation |
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| 摘要点击次数: 2514 |
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| 中文摘要: |
| 将智能体对环境的感知和反作用的能力与遗传算法的搜索方式相结合提出了一种改进的多智能体遗传算法，用于马斯京根模型的参数估计。该方法中每个智能体代表一个候选解并固定在网格上，为了增加自身能量，它将与其邻域的智能体进行合作或竞争，也可以利用自身的知识进行自学习来增加能量，通过这些智能体与智能体间的相互作用来达到优化模型中参数的目的。应用实例表明，该算法同其他算法相比具有更好的优化性能，从而为准确估计马斯京根模型参数提供了一种更为有效的方法。 |
| 英文摘要: |
| The ability of apperception and counteractive to environment of agent is combined with searching mode of genetic algorithm to establish an improved multi agent algorithm for estimating the parameter of Muskingum Model. In this model every agent represents an optional solution and is fixed in the grid. In order to elevate its self energy every agent competes or cooperates with its neighbors, and it can also use its knowledge to study for elevating the energy. Through the interaction between the agents the objective of optimizing the parameters can be realized. The advantage of this proposed method is demonstrated by an example. |
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