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Optimization of control parameters for petroleum waste composting

Journal of Environmental Sciences 2001年第4期13卷 385-390页

作者： MA Ying ZHANG Jia yao WONG Ming Hung WU Wen zhong Department of Biology and Institute for Natural Resource and Waste Management Hong Kong Baptist UniversityKowloon TongHong KongChina Department of Environmental Science Wuhan UniversityWuhan 430072China State Key Laboratory for Freshwater Ecology and Biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan 430072China

Composting is being widely employed in the treatment of petroleum waste. The purpose of this study was to find the optimum control parameters for petroleum waste in-vessel composting. Various physical and chemical parameters were monitored to evaluate their influence on the microbial communities present in composting. The CO2 evolution and the number of microorganisms were measured as the activity of composting. The results demonstrated that the optimum temperature, pH and moisture content were 56.5 - 59.5 degreesC, 7.0 - 8.5 and 55 % - 60%, respectively. Under the optimum conditions, the removal efficiency of petroleum hydrocarbon reached 83.29% after 30 days composting.

关键词： optimization control parameters petroleum waste composting

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Integrated Optimization of Structure and control parameters for the Height control System of a Vertical Spindle Cotton Picker

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Chinese Journal of Mechanical Engineering 2021年第6期34卷 405-416页

作者： Xingzheng Chen Congbo Li Rui Hu Ning Liu Chi Zhang College of Engineering and Technology Southwest UniversityChongqing400715China State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing400044China Department of Mechanical Engineering National University of SingaporeSingapore119077Singapore

Vertical picking method is a predominate method used to harvest cotton ***,a vertical picking method may cause spindle bending of the cotton picker if spindles collide with stones on the cotton ***,how to realize a precise height control of the cotton picker is a crucial issue to be *** objective of this study is to design a height control system to avoid the *** design it,the mathematical models are established *** a multi-objective optimization model represented by structure parameters and control parameters is proposed to take the pressure of chamber without piston,response time and displacement error of the height control system as the opti-mization *** integrated optimization approach that combines optimization via simulation,particle swarm optimization and simulated annealing is proposed to solve the *** and experimental test results show that the proposed integrated optimization approach can not only reduce the pressure of chamber without piston,but also decrease the response time and displacement error of the height control system.

关键词： Cotton picker Height control system Structure parameters control parameters Integrated optimization

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Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 135-158页

作者： Shubham Gupta Shitu Singh Rong Su Shangce Gao Jagdish Chand Bansal the School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore the Department of Mathematics South Asian UniversityNew Delhi 110021India IEEE Faculty of Engineering University of ToyamaToyama-shi 930-8555Japan

The differential evolution(DE)algorithm relies mainly on mutation strategy and control parameters'*** take full advantage of top elite individuals in terms of fitness and success rates,a new mutation operator is *** control parameters such as scale factor and crossover rate are tuned based on their success rates recorded over past evolutionary *** proposed DE variant,MIDE,performs the evolution in a piecewise manner,i.e.,after every predefined evolutionary stages,MIDE adjusts its settings to enrich its diversity *** performance of the MIDE is validated on two different sets of benchmarks:CEC 2014 and CEC 2017(special sessions&competitions on real-parameter single objective optimization)using different performance *** the end,MIDE is also applied to solve constrained engineering *** efficiency and effectiveness of the MIDE are further confirmed by a set of experiments.

关键词： control parameters differential Evolution metaheuristic algorithms mutation operator

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A Mathematical Model of COVID-19: Analysis and Identification of parameters for Better Decision Making

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Applied Mathematics 2022年第2期13卷 205-214页

作者： Ouaténi Diallo Yaya Kone Chata Sanogo Jérô me Pousin Département de Mathématiques et Informatique Faculté des Sciences et Techniques Bamako Mali Institut Camille Jordan INSA Lyon France

Since the onset of the COVID-19 epidemic, the world has been impressed by two things: The number of people infected and the number of deaths. Here, we propose a mathematical model of the spread of this disease, analyze this model mathematically and determine one or more dominant factors in the propagation of the COVID-19 epidemic. We consider the S-E-I-R epidemic model in the form of ordinary differential equations, in a population structured in susceptibles S, exposed E as caregivers, travelers and assistants at public events, infected I and recovered R classes. Here we decompose the recovered class into two classes: The deaths class D and the class of those who are truly healed H. After the model construction, we have calculated the basic reproduction number R0, which is a function of certain number of parameters like the size of the exposed class E. In our paper, the mathematical analysis, which consists in searching the equilibrium points and studying their stability, is done. The work identifies some parameters on which one can act to control the spread of the disease. The numerical simulations are done and they illustrate our theoretical analysis.

关键词： COVID-19 Mathematical Model R0 Spread control parameters Malian Data

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