离子型稀土矿区农田水质演化建模研究

Water pollution has become a serious environmental issue in the farmland of Ionic rare earth mining area. Aiming at the key scientific issue of “analysis of influence factors, modeling of water quality” in the farmland of Ionic rare earth mining area, this project focuses on analyzing the influence factors of water quality using an optimization algorithm inspired by the prey-predator model. In order to accelerate the convergence speed and to enhance the global search ability, an optimization algorithm inspired by the prey-predator model (PPMOA) is first proposed to analyze the influence factors of water quality in the farmland of Ionic rare earth mining area. Moreover, an enhanced gene expression programming inspired by the prey-predator model (PPMGEP) is proposed to evolve the water quality model for revealing the change law of the water quality in the farmland of Ionic rare earth mining area. In order to promote the search efficiency and to enhance the noise immunity as well as generalization ability, PPMGEP employs the prey-predator model to adaptively keep a balance between the population diversity and the convergence speed. The development of this project will help to provide a technical basis for environmental management and ecological restoration in Ionic rare earth mining area.

水污染已成为离子型稀土矿区农田严重的环境问题。针对离子型稀土矿区农田水质“影响因素分析，水质模型建立”核心科学问题，借鉴生态学中猎物-捕食者之间的生存规律，提出猎物-捕食者模型启发的优化算法，利用生态学中猎物-捕食者的自然规律来自适应地协调提出优化算法的收敛速度与种群多样性之间的平衡，加快提出优化算法的收敛速度，增强其全局搜索能力，以此有效地求解出影响离子型稀土矿区农田水质的主要因素；同时针对离子型稀土矿区农田独特的环境和制约因素，借鉴生态学中的猎物-捕食者模型来设计新颖的基因表达式编程算法，提高传统基因表达式编程算法的搜索效率，增强其抗噪声能力和泛化能力，从而智能地演化出离子型稀土矿区农田水质模型，揭示离子型稀土矿区农田水质的变化规律。本项目目标是为离子型稀土矿区环境治理与生态恢复提供技术支撑。

水污染是离子型稀土矿区农田的严重环境问题。针对离子型稀土矿区农田水质“影响因素分析，水质模型建立”核心科学问题，本项目将离子型稀土矿区农田水质建模的思路转向大自然，向大自然学习，借鉴自然界的演化规律实现离子型稀土矿区农田的水质变化预测。主要研究内容包括：(1) 提出了各种改进的演化算法，利用所提出的改进演化算法分析离子型稀土矿区农田水质的影响因素；(2)提出了融合离子型稀土矿区农田特点的水质演化建模方法，基于所提出的水质演化建模方法，构建了较准确的离子型稀土矿区农田水质模型。(3) 基于离子型稀土矿区农田水质演化建模方法，开发出了原型系统。本项目的实施有助于为离子型稀土矿区环境治理提供新的研究方法。本项目研究成果在国际期刊上发表了11篇SCI/EI收录的相关学术论文，其中在《Information Sciences》、《Soft Computing》等演化计算领域知名国际期刊上发表了4篇SCI收录的学术论文；并授权了11项相关的国家发明专利。