Nowadays,China’s urbanization has entered a new stage,paying more attention to the human settlement environment.The urban environment has been greatly improved,with a new look.However,the contradiction between the ol...Nowadays,China’s urbanization has entered a new stage,paying more attention to the human settlement environment.The urban environment has been greatly improved,with a new look.However,the contradiction between the old city and the new city has gradually become prominent.The old residential area is the basic composition of the old city.Some old residential areas are in disrepair for a long time,and the supporting facilities are imperfect.There are problems such as single style,chaotic layout,hidden quality hazards,etc.,which are difficult to meet the living standards of modern residents.To solve this problem,from the aspects of the levels involved in the renewal and reconstruction of old residential areas,it should repair the building quality,optimize the housing function and increase the residents’happiness.Based on reconstruction of old residential areas in Congtai District of Handan City,Luochengtou Spinning Machine Yard No.6 of Handan City is taken as the research object.Common strategies in the reconstruction of old residential areas are explored,and the existing problems are updated and transformed.The research could provide reference for renewal design of old residential areas.展开更多
The Qingshanhu Campus of Jiangxi Normal University was taken as an example to study the existing problems of old campuses at present,and how to excavate the memory and remains of the campus on the basis of the preserv...The Qingshanhu Campus of Jiangxi Normal University was taken as an example to study the existing problems of old campuses at present,and how to excavate the memory and remains of the campus on the basis of the preserved historic buildings was studied.The theory of urban renewal and cultural heritage protection was used to update and protect the campus.展开更多
The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we prop...The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we propose a multi-ob jective optimization algorithm,referred to as the double-grid interactive preference based MOEA(DIPMOEA),which explicitly takes the preferences of decision makers(DMs)into account.First,according to the optimization ob jective of the practical multi-ob jective optimization problems and the preferences of DMs,the membership functions are mapped to generate a decision preference grid and a preference error grid.Then,we put forward two dominant modes of population,preference degree dominance and preference error dominance,and use this advantageous scheme to update the population in these two grids.Finally,the populations in these two grids are combined with the DMs’preference interaction information,and the preference multi-ob jective optimization interaction is performed.To verify the performance of DIP-MOEA,we test it on two kinds of problems,i.e.,the basic DTLZ series functions and the multi-ob jective knapsack problems,and compare it with several different popular preference-based MOEAs.Experimental results show that DIP-MOEA expresses the preference information of DMs well and provides a solution set that meets the preferences of DMs,quickly provides the test results,and has better performance in the distribution of the Pareto front solution set.展开更多
基金Supported by Scientific Research Project of Hebei Colleges and Universities in 2022(SD2022020)。
文摘Nowadays,China’s urbanization has entered a new stage,paying more attention to the human settlement environment.The urban environment has been greatly improved,with a new look.However,the contradiction between the old city and the new city has gradually become prominent.The old residential area is the basic composition of the old city.Some old residential areas are in disrepair for a long time,and the supporting facilities are imperfect.There are problems such as single style,chaotic layout,hidden quality hazards,etc.,which are difficult to meet the living standards of modern residents.To solve this problem,from the aspects of the levels involved in the renewal and reconstruction of old residential areas,it should repair the building quality,optimize the housing function and increase the residents’happiness.Based on reconstruction of old residential areas in Congtai District of Handan City,Luochengtou Spinning Machine Yard No.6 of Handan City is taken as the research object.Common strategies in the reconstruction of old residential areas are explored,and the existing problems are updated and transformed.The research could provide reference for renewal design of old residential areas.
基金Sponsored by Humanities and Social Sciences Project for Young Scholars of Education Department of Jiangxi Province(JC18210)Project for Youth Scholars of Jiangxi Normal University.
文摘The Qingshanhu Campus of Jiangxi Normal University was taken as an example to study the existing problems of old campuses at present,and how to excavate the memory and remains of the campus on the basis of the preserved historic buildings was studied.The theory of urban renewal and cultural heritage protection was used to update and protect the campus.
基金supported by the National Natural Science Foundation of China(No.72101266)the Military Postgraduate Funding Project+2 种基金China(No.JY2021B042)the Hunan Provincial Postgraduate Scientific Research Innovation ProjectChina(No.CX20200029)。
文摘The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we propose a multi-ob jective optimization algorithm,referred to as the double-grid interactive preference based MOEA(DIPMOEA),which explicitly takes the preferences of decision makers(DMs)into account.First,according to the optimization ob jective of the practical multi-ob jective optimization problems and the preferences of DMs,the membership functions are mapped to generate a decision preference grid and a preference error grid.Then,we put forward two dominant modes of population,preference degree dominance and preference error dominance,and use this advantageous scheme to update the population in these two grids.Finally,the populations in these two grids are combined with the DMs’preference interaction information,and the preference multi-ob jective optimization interaction is performed.To verify the performance of DIP-MOEA,we test it on two kinds of problems,i.e.,the basic DTLZ series functions and the multi-ob jective knapsack problems,and compare it with several different popular preference-based MOEAs.Experimental results show that DIP-MOEA expresses the preference information of DMs well and provides a solution set that meets the preferences of DMs,quickly provides the test results,and has better performance in the distribution of the Pareto front solution set.
