| 戴剑勇,邹树梁,汪敏.放射性污染物多智能体系统免疫克隆选择优化[J].,2016,17(3):10-14 |
| 放射性污染物多智能体系统免疫克隆选择优化 |
| Immune Clonal Selection Optimization of Radioactive Contamination System Based on Multi-agent Technology |
| 投稿时间：2016-02-20 |
| DOI： |
| 中文关键词: 多智能体系统 放射性污染物 免疫克隆选择优化 放射性污染治理 |
| English Keywords:Multi-Agent system radioactive contamination immune clonal selection optimization |
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| 中文摘要: |
| 根据放射性污染物迁移动力学机制及其相应的控制措施,应用多智能体技术构建放射性污染物控制系统多智能体系统结构与协商机制,应用免疫克隆选择优化算法实现其系统全局最优控制。并以铀矿山放射性污染物控制系统为例,探讨了铀矿开采系统、尾矿覆盖系统、废水治理系统及废物处理技术等多智能体分布式自治与系统协商机制,为实现铀矿山放射性污染物最优控制提供了理论基础与实现平台。 |
| English Summary: |
| According to radioactive pollutants migration dynamic mechanism and its corresponding control measures, it constructs intelligent multi system structure and negotiation mechanism of radioactive pollutants control system by multi agent technology, and achieves the global optimal control by immune clonal selection optimization algorithm. And with uranium mine radioactive pollutants control system as an example, it discusses as the multi-agent intelligent distributed autonomous system and negotiation mechanism the uranium mining system, tailings coverage system, wastewater treatment system and waste treatment technology system the multi-agent, which provides a theoretical basis and the platform of realization for optimal control of uranium mines radioactive pollutants. |
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