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在对水华产生机理分析和研究的基础上,建立了用于藻类生长模型,研究了有约束条件的非线性极小值问题求取最优参数估计值的方法。结合实验数据对模型中涉及的参数,运用多参数同时估计法进行估计并验证。仿真与实验结果表明了该模型能够较好地描述水华从产生到爆发过程的变化规律,为水华的预警及治理提供参考依据。
鉴于常规差分进化算法容易“早熟”,全局寻优能力有待提高,提出了基于优进策略的差分进化算法,利用种群繁衍的有用信息改进子代分布,并引入确定性寻优操作,以提高寻优性能.设计了单纯形寻优操作和重布操作,并调整有关概率等.测试表明新算法的全局寻优性能有明显改善,已成功地应用于铯-铷-钒系低温硫酸催化剂上SO2氧化反应模型参数的估计,效果良好.
针对多目标优化研究中传统遗传算法存在的一些问题,引入人工智能领域新兴发展起来的多智能体技术,结合遗传算法形成进化多智能体系统来求解多目标优化问题.主要对进化多智能体系统框架、进化遗传算法进行了论述.
提出两种均以微粒群(PSO)算法对原始训练集随机抽样优化,再结合机器学习算法建立预测模型的PSO算法优化化工建模训练集的思路。思路1首先以模型交叉验证的均方误差函数mse最小为目标优化训练集,再通过对验证集预测,从平行运行得到的多个优化训练集中确定最优训练集用于建模。思路2借鉴提高BP神经网络泛化能力的初期终止(early stop)法,以对验证集预测的mse最小为目标优化训练集,再通过对测试集预...
根据实时优化问题的特点,提出了一种实时优化方法——MEO(mnemonic enhancement optimization),它是一种高效的基于经验增强的实时优化方法。设计了MEO框架及其具体实现步骤,基于Aspen Plus平台开发了MEO通用代理服务器系统。结合Aspen Plus OOMF 脚本语言与AOS NLP/NLA接口混合编程实施了MEO通用代理服务器系统。并应用脱丙烷塔和脱丁烷塔...
Neural network intelligent system for the on -line optimization in chemical plants。
The concentration and orientation of fiber in a turbulent T-shaped branching channel flow are investigated numerically. The Reynolds averaged Navier-Stokes equations together with the Reynolds stress ...
By avoiding or reducing the production of waste, waste minimization is an effective approach to solve the pollution problem in chemical industry. Process integration supported by multi-objective opt...
A new 18-lump kinetic model for naphtha catalytic reforming reactions is discussed. By developing this model as a user module, a whole industrial continuous catalytic reforming process is simulated on...
A model of grade transition is presented for a commercialized fluidized bed gas-phase polyethyleneproduction process. The quantity of off-specification product and the time of grade transition can be ...
Effective utilization of water and energy is the key factor of sustainable development in process industries, and also an important science and technology problem to be solved in systems engineering...
Multi-objective optimization of a purified terephthalic acid (PTA) oxidation unit is carried out in this paper by using a process model that has been proved to describe industrial process quite well. ...
Separation-recycle system is an important part in chemical process, and its optimization is a multiobjective problem. In this paper the process optimization procedure is proposed. The fuzzy optimiza...
A gas-liquid mass transfer model based on an unsteady state film mechanism applied to a single bubble is presented. The mathematical model was solved using Laplace transform to obtain an analytical ...
A hybrid approach using MLD (mixed logical dynamical) framework to handle infeasibility and constraint prioritization issues in MPC (model predictive control) based on input-output model is introduced...

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