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A Novel heuristic Algorithm for themodeling and Risk Assessment of the COVID-19 Pandemic Phenomenon

Computer modeling in Engineering & Sciences 2020年第11期125卷 815-828页

作者： Panagiotis G.Asteris Maria G.Douvika Chrysoula A.Karamani Athanasia D.Skentou Katerina Chlichlia Liborio Cavaleri Tryfon Daras Danial J.Armaghani Theoklis E.Zaoutis Computational Mechanics Laboratory School of Pedagogical and Technological EducationAthens15122Greece Laboratory of Molecular Immunology Department of Molecular Biology and GeneticsDemocritus University of ThraceAlexandroupolisGreece Department of Civil EnvironmentalAerospace and Materials EngineeringUniversity of PalermoPalermoItaly School of Environmental Engineering Technical University of CreteChaniaGreece Department of Civil Engineering Faculty of EngineeringUniversity of MalayaKuala LumpurMalaysia Division of Infectious Diseases The Children’s Hospital of PhiladelphiaPerelman School of MedicineUniversity of PennsylvaniaPHLUSA

Themodeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology,and such an attempt is of great interest for public health *** this end,in the present study,based on a recent heuristic algorithm proposed by the authors,the time evolution of COVID-19 is investigated for six different countries/states,namely New York,California,USA,Iran,Sweden and *** number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of daily deaths in each country/state includes information about the quality of the health system in each area,the age distribution of population,geographical and environmental factors as well as other *** on derived predicted epidemic curves,a new 3D-epidemic surface is proposed to assess the epidemic phenomenon at any time of its *** research highlights the potential of the proposed model as a tool which can assist in the risk assessment of the *** its development through 3D-epidemic surface can assist in revealing its dynamic nature as well as differences and similarities among different districts.

关键词： Algorithm COVID-19 Gaussian-function heuristic model pandemic trend prediction SARS-CoV-2

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A heuristic modelING FOR A DYNAMIC AND GOAL PROGRAMING IN PRODUCTION PLANNING OF CONTINUOUS MANUFACTURING SYSTEMS

A HEURISTIC MODELING FOR A DYNAMIC AND GOAL PROGRAMING IN PR...

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2005年中国机械工程学会年会

作者： A.JAHAN M.ABDOLSHAH Department of Industrial Engineering Department of Industrial Engineering

＜正＞At the first sight it seems that advanced operation research is not used enough in continuous production systems as comparison with mass production, batch production and Job shop systems, but really in a comprehensive evaluation the advanced operation research techniques can be used in continuous production systems in developing countries very widely, because of initial inadequate plant layout, stage by stage development of production lines, the purchase of buying second hand machineries from various countries, plurality of customers. The present paper is a case study of production system planning for a chemical company in which the above mentioned conditions are almost present. The goals and constraints in this issue are as follows: 1. Minimizing deviation of customer’s requirements. 2. Maximizing the profit. 3. Minimizing the frequencies of changes in formula Production. 4. Minimizing the inventory of final products. 5. .Balancing the production sections with regard to rate in production. 6. Limitation in inventory of raw material. The present situation is in such a way that various techniques such as goal programming, linear programming and dynamic programming can be used. But dynamic production programming issues are divided into two categories, at first one with limitation in production capacity and another with unlimited production capacity. For the first category, a systematic and acceptable solution has not been presented yet. Therefore in this paper an innovative method is used to convert the dynamic situation to a zero- one model. At last this issue is changed to a goal programming model with non-linear limitations with the use of GRG algorithm and that’s how it is solved.

关键词： heuristic model dynamic programming goal programming production planning

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