The order-of-addition experiments are widely used in many fields,including food and industrial production,but the relative research under prior constraints is limited.The purpose of this paper is to select an optimal ...The order-of-addition experiments are widely used in many fields,including food and industrial production,but the relative research under prior constraints is limited.The purpose of this paper is to select an optimal sequence under the restriction that component i is added before component j,while it is unachievable to compare all sequences when the number of components m is large.To achieve this,a constrained PWO model is first provided,and then the D-optimal designs for order-of addition experiments with minimal-points via the modified threshold accepting algorithm is established.The effectiveness of the proposed method is demonstrated through a job scheduling problem with a prior constraint for teaching cases.展开更多
Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined...Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex problems.In FAGA,immune theory is used to improve the performance of selection operation.And,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control parameters.The experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy GAs.Finally,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.展开更多
Based on the entangled Fresnel operator （EFO） proposed in [Commun. Theor. Phys. 46 （2006） 559], the optical operator method studied by the IWOP technique （Ma et al., Commun. Theor. Phys. 49 （2008） 1295） is ext...Based on the entangled Fresnel operator （EFO） proposed in [Commun. Theor. Phys. 46 （2006） 559], the optical operator method studied by the IWOP technique （Ma et al., Commun. Theor. Phys. 49 （2008） 1295） is extended to the two-mode case, which gives the decomposition of the entangled Fresnel operator, corresponding to the decomposition of ray transfer matrix [A, B, C, D]. The EFO can unify those optical operators in two-mode case. Various decompositions of EFO into the exponential canonical operators are obtained. The entangled state representation is useful in the research.展开更多
Having as a starting point of the problematic energy consumption of buildings, it studied the panorama of energy efficiency, emphasizing the Brazilian program of the INMETRO （Instituto Nacional de Metrologia, Normali...Having as a starting point of the problematic energy consumption of buildings, it studied the panorama of energy efficiency, emphasizing the Brazilian program of the INMETRO （Instituto Nacional de Metrologia, Normalizacao e Qualidade Industrial）, PROCEL “Edifica” （national program for energy efficiency in buildings）, contained in the norm RTQ-C （technical requirements of the quality for the level of energetic efficiency of commercial, service, and public buildings）. For a better understanding of the regulation, it elected a building, emblematic in the city of Passo Fundo, RS, Brazil, illustrating the perspective of the program. The building was classified in accordance with the two methodologies presented by the program： prescriptive and simulation, so it was possible to investigate the peculiarities of each methodology and the own regulation. After the application of the methodologies, we came to the conclusion that the prescriptive method is less accurate and requires more dedication by the evaluator to do all the calculations and surveys required, however, it is the fastest tool and accessible to the field professionals. The simulation on the other hand, is a more accurate methodology and reaches levels of analysis that the prescriptive method does not reach, but still is a tool that needs large initial financial contribution and prior knowledge.展开更多
This paper mainly studies case representation based on fuzzy technology, the comparing framework of case properties and the method of similarity assessment. Firstly, this paper proposes the method of case representati...This paper mainly studies case representation based on fuzzy technology, the comparing framework of case properties and the method of similarity assessment. Firstly, this paper proposes the method of case representation based on fuzzy technology. Secondly, it discusses the comparing framework of case fuzzy properties. Thirdly, it presents the case representation framework composed of structure data and related properties and b＇ased on which it studies the method and step of gaining case similarity assessment through adjusting similarity value of a property. This paper proposes a similarity assessment method in comparing stage of CBR using fuzzy technology. This method not only simples the computing complexity of CBR in comparing stage but also resolves the difficulties of similarity assessment on different levels.展开更多
This paper studies the multi-objective optimization of space station short-term mission planning(STMP), which aims to obtain a mission-execution plan satisfying multiple planning demands. The planning needs to allocat...This paper studies the multi-objective optimization of space station short-term mission planning(STMP), which aims to obtain a mission-execution plan satisfying multiple planning demands. The planning needs to allocate the execution time effectively, schedule the on-board astronauts properly, and arrange the devices reasonably. The STMP concept models for problem definitions and descriptions are presented, and then an STMP multi-objective planning model is developed. To optimize the STMP problem, a Non-dominated Sorting Genetic Algorithm II(NSGA-II) is adopted and then improved by incorporating an iterative conflict-repair strategy based on domain knowledge. The proposed approach is demonstrated by using a test case with thirty-five missions, eighteen devices and three astronauts. The results show that the established STMP model is effective, and the improved NSGA-II can successfully obtain the multi-objective optimal plans satisfying all constraints considered. Moreover, through contrast tests on solving the STMP problem, the NSGA-II shows a very competitive performance with respect to the Strength Pareto Evolutionary Algorithm II(SPEA-II) and the Multi-objective Particle Swarm Optimization(MOPSO).展开更多
基金supported by National Natural Science Foundation of China(Grant Nos.11971204,12271270)Natural Science Foundation of Jiangsu Province of China(Grant No.BK20200108)the Zhongwu Youth Innovative Talent Program of Jiangsu University of Technology and the Third Level Training Object of the Sixth“333 Project”in Jiangsu Province。
文摘The order-of-addition experiments are widely used in many fields,including food and industrial production,but the relative research under prior constraints is limited.The purpose of this paper is to select an optimal sequence under the restriction that component i is added before component j,while it is unachievable to compare all sequences when the number of components m is large.To achieve this,a constrained PWO model is first provided,and then the D-optimal designs for order-of addition experiments with minimal-points via the modified threshold accepting algorithm is established.The effectiveness of the proposed method is demonstrated through a job scheduling problem with a prior constraint for teaching cases.
基金Supported by the National Natural Science Foundation of China（20776042） the National High Technology Research and Development Program of China（2007AA04Z164）+3 种基金 the Doctoral Fund of Ministry of Education of China（20090074110005） the Program for New Century Excellent Talents in University（NCET-09-0346） the＂Shu Guang＂Project（095G29） Shanghai Leading Academic Discipline Project（B504）
文摘Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex problems.In FAGA,immune theory is used to improve the performance of selection operation.And,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control parameters.The experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy GAs.Finally,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.
基金Supported by the National Natural Science Foundation of China under Grant No. 10775097the Research Foundation of the Education Department of Jiangxi Province of China under Grant No. GJJ10097
文摘Based on the entangled Fresnel operator （EFO） proposed in [Commun. Theor. Phys. 46 （2006） 559], the optical operator method studied by the IWOP technique （Ma et al., Commun. Theor. Phys. 49 （2008） 1295） is extended to the two-mode case, which gives the decomposition of the entangled Fresnel operator, corresponding to the decomposition of ray transfer matrix [A, B, C, D]. The EFO can unify those optical operators in two-mode case. Various decompositions of EFO into the exponential canonical operators are obtained. The entangled state representation is useful in the research.
文摘Having as a starting point of the problematic energy consumption of buildings, it studied the panorama of energy efficiency, emphasizing the Brazilian program of the INMETRO （Instituto Nacional de Metrologia, Normalizacao e Qualidade Industrial）, PROCEL “Edifica” （national program for energy efficiency in buildings）, contained in the norm RTQ-C （technical requirements of the quality for the level of energetic efficiency of commercial, service, and public buildings）. For a better understanding of the regulation, it elected a building, emblematic in the city of Passo Fundo, RS, Brazil, illustrating the perspective of the program. The building was classified in accordance with the two methodologies presented by the program： prescriptive and simulation, so it was possible to investigate the peculiarities of each methodology and the own regulation. After the application of the methodologies, we came to the conclusion that the prescriptive method is less accurate and requires more dedication by the evaluator to do all the calculations and surveys required, however, it is the fastest tool and accessible to the field professionals. The simulation on the other hand, is a more accurate methodology and reaches levels of analysis that the prescriptive method does not reach, but still is a tool that needs large initial financial contribution and prior knowledge.
文摘This paper mainly studies case representation based on fuzzy technology, the comparing framework of case properties and the method of similarity assessment. Firstly, this paper proposes the method of case representation based on fuzzy technology. Secondly, it discusses the comparing framework of case fuzzy properties. Thirdly, it presents the case representation framework composed of structure data and related properties and b＇ased on which it studies the method and step of gaining case similarity assessment through adjusting similarity value of a property. This paper proposes a similarity assessment method in comparing stage of CBR using fuzzy technology. This method not only simples the computing complexity of CBR in comparing stage but also resolves the difficulties of similarity assessment on different levels.
基金supported by the National Natural Science Foundation of China(Grant No.11402295)the Science Project of National University of Defense Technology(Grant No.JC14-01-05)the Hunan Provincial Natural Science Foundation of China(Grant No.2015JJ3020)
文摘This paper studies the multi-objective optimization of space station short-term mission planning(STMP), which aims to obtain a mission-execution plan satisfying multiple planning demands. The planning needs to allocate the execution time effectively, schedule the on-board astronauts properly, and arrange the devices reasonably. The STMP concept models for problem definitions and descriptions are presented, and then an STMP multi-objective planning model is developed. To optimize the STMP problem, a Non-dominated Sorting Genetic Algorithm II(NSGA-II) is adopted and then improved by incorporating an iterative conflict-repair strategy based on domain knowledge. The proposed approach is demonstrated by using a test case with thirty-five missions, eighteen devices and three astronauts. The results show that the established STMP model is effective, and the improved NSGA-II can successfully obtain the multi-objective optimal plans satisfying all constraints considered. Moreover, through contrast tests on solving the STMP problem, the NSGA-II shows a very competitive performance with respect to the Strength Pareto Evolutionary Algorithm II(SPEA-II) and the Multi-objective Particle Swarm Optimization(MOPSO).
