In this paper,a novel location inventory routing(LIR)model is proposed to solve cold chain logistics network problem under uncertain demand environment. The goal of the developed model is to optimize costs of location...In this paper,a novel location inventory routing(LIR)model is proposed to solve cold chain logistics network problem under uncertain demand environment. The goal of the developed model is to optimize costs of location,inventory and transportation.Due to the complex of LIR problem( LIRP), a multi-objective genetic algorithm(GA), non-dominated sorting in genetic algorithm Ⅱ( NSGA-Ⅱ) has been introduced. Its performance is tested over a real case for the proposed problems. Results indicate that NSGA-Ⅱ provides a competitive performance than GA,which demonstrates that the proposed model and multi-objective GA are considerably efficient to solve the problem.展开更多
The construction of moral education in primary and secondary schools is facingmany dilemmas,such as formalism,passivity,task-type,Tacitus trap and new media interaction.There is a high degree of coupling between the p...The construction of moral education in primary and secondary schools is facingmany dilemmas,such as formalism,passivity,task-type,Tacitus trap and new media interaction.There is a high degree of coupling between the progressive,stepped and interlocking supply of Problem Chain mode and the demand of moral education construction in primary and secondary schools.Problem Chain mode is helpful to solve the problems of teaching content,teaching effects and educational object in moral education construction in primary and secondary schools.展开更多
A class of second-order two-point boundary value problem on a measure chain was considered. Under some suitable conditions, by using the Leggett-Williams fixed point theorem in an appropriate cone, the existence of at...A class of second-order two-point boundary value problem on a measure chain was considered. Under some suitable conditions, by using the Leggett-Williams fixed point theorem in an appropriate cone, the existence of at least three positive solutions to this nonlinear problem was obtained.展开更多
We continue to consider one of the cybernetic methods in biology related to the study of DNA chains. Exactly, we are considering the problem of reconstructing the distance matrix for DNA chains. Such a matrix is forme...We continue to consider one of the cybernetic methods in biology related to the study of DNA chains. Exactly, we are considering the problem of reconstructing the distance matrix for DNA chains. Such a matrix is formed on the basis of any of the possible algorithms for determining the distances between DNA chains, as well as any specific object of study. At the same time, for example, the practical programming results show that on an average modern computer, it takes about a day to build such a 30 × 30 matrix for mnDNAs using the Needleman-Wunsch algorithm;therefore, for such a 300 × 300 matrix, about 3 months of continuous computer operation is expected. Thus, even for a relatively small number of species, calculating the distance matrix on conventional computers is hardly feasible and the supercomputers are usually not available. Therefore, we started publishing our variants of the algorithms for calculating the distance between two DNA chains, then we publish algorithms for restoring partially filled matrices, i.e., the inverse problem of matrix processing. Previously, we used the method of branches and boundaries, but in this paper we propose to use another new algorithm for restoring the distance matrix for DNA chains. Our recent work has shown that even greater improvement in the quality of the algorithm can often be achieved without improving the auxiliary heuristics of the branches and boundaries method. Thus, we are improving the algorithms that formulate the greedy function of this method only. .展开更多
The new curriculum standard requires high school physics teaching to adhere to a more open teaching concept, adhere to the physics teaching to highlight the experimental ability, awaken students' thinking with pro...The new curriculum standard requires high school physics teaching to adhere to a more open teaching concept, adhere to the physics teaching to highlight the experimental ability, awaken students' thinking with problems, and cultivate students' ability to ask, explore and solve problems. Therefore, the problem is not only a clue that runs through physics teaching, but also a starting point to explore new knowledge. Problem-based teaching is an effective way to cultivate students' scientific thinking and scientific methods. High school physics teachers should use the problem chain as a guide in teaching practice, according to students' cognitive status, to stimulate students' interest in learning and exploring science, so as to more efficiently promote the development of students' core quality in physics.展开更多
The problem chain teaching method is a kind of teaching mode based on the problem consciousness guidance, which carries out the corresponding teaching activities through the interlocking problem design, guides the stu...The problem chain teaching method is a kind of teaching mode based on the problem consciousness guidance, which carries out the corresponding teaching activities through the interlocking problem design, guides the students to think deeply and explore with effective problems, and promotes the students' all-round development. Designing problem chains in the special teaching of "basic principles of Marxism" can effectively improve the teaching quality. The special teaching based on the problem chain design will help the "principle" class to become an ideological and political class with advanced "formula", "craftsmanship" exquisite, "packaging" fashion, and lead college students to establish a scientific world outlook, values and outlook on life. This paper focuses on the connotation, presentation and design of problem chains.展开更多
为降低需求不确定对食品冷链物流的影响,考虑车速、载重等参数,建立油耗测度模型;引入新鲜度衰减函数计算食品配送过程中的货损成本。在此基础上,根据时间窗和零售商服务水平等约束,以包括碳排放成本在内的总成本最低为目标,构建需求不...为降低需求不确定对食品冷链物流的影响,考虑车速、载重等参数,建立油耗测度模型;引入新鲜度衰减函数计算食品配送过程中的货损成本。在此基础上,根据时间窗和零售商服务水平等约束,以包括碳排放成本在内的总成本最低为目标,构建需求不确定的低碳库存-路径联合优化模型。通过机会约束规划模型进行确定性转化,设计一种基于Tent映射的混沌粒子群优化算法(chaotic particle swarm optimization algorithm based on Tent mapping,TCPSO)对优化模型进行求解。实验结果表明,与单独优化模型相比,联合优化模型的总成本降低了4.95%~9.03%,碳排放成本降低了3.32%~7.59%,物流成本和碳排放量均降低。通过改变车速和需求变异系数,发现总成本随车速增大先降低后上升,随需求波动增大而上升。实例证明所构建的优化模型和设计的算法有效且具有鲁棒性。展开更多
基金Natural Science Foundation of Shanghai,China(No.15ZR1401600)the Fundamental Research Funds for the Central Universities,China(No.CUSF-DH-D-2015096)
文摘In this paper,a novel location inventory routing(LIR)model is proposed to solve cold chain logistics network problem under uncertain demand environment. The goal of the developed model is to optimize costs of location,inventory and transportation.Due to the complex of LIR problem( LIRP), a multi-objective genetic algorithm(GA), non-dominated sorting in genetic algorithm Ⅱ( NSGA-Ⅱ) has been introduced. Its performance is tested over a real case for the proposed problems. Results indicate that NSGA-Ⅱ provides a competitive performance than GA,which demonstrates that the proposed model and multi-objective GA are considerably efficient to solve the problem.
文摘The construction of moral education in primary and secondary schools is facingmany dilemmas,such as formalism,passivity,task-type,Tacitus trap and new media interaction.There is a high degree of coupling between the progressive,stepped and interlocking supply of Problem Chain mode and the demand of moral education construction in primary and secondary schools.Problem Chain mode is helpful to solve the problems of teaching content,teaching effects and educational object in moral education construction in primary and secondary schools.
文摘A class of second-order two-point boundary value problem on a measure chain was considered. Under some suitable conditions, by using the Leggett-Williams fixed point theorem in an appropriate cone, the existence of at least three positive solutions to this nonlinear problem was obtained.
文摘We continue to consider one of the cybernetic methods in biology related to the study of DNA chains. Exactly, we are considering the problem of reconstructing the distance matrix for DNA chains. Such a matrix is formed on the basis of any of the possible algorithms for determining the distances between DNA chains, as well as any specific object of study. At the same time, for example, the practical programming results show that on an average modern computer, it takes about a day to build such a 30 × 30 matrix for mnDNAs using the Needleman-Wunsch algorithm;therefore, for such a 300 × 300 matrix, about 3 months of continuous computer operation is expected. Thus, even for a relatively small number of species, calculating the distance matrix on conventional computers is hardly feasible and the supercomputers are usually not available. Therefore, we started publishing our variants of the algorithms for calculating the distance between two DNA chains, then we publish algorithms for restoring partially filled matrices, i.e., the inverse problem of matrix processing. Previously, we used the method of branches and boundaries, but in this paper we propose to use another new algorithm for restoring the distance matrix for DNA chains. Our recent work has shown that even greater improvement in the quality of the algorithm can often be achieved without improving the auxiliary heuristics of the branches and boundaries method. Thus, we are improving the algorithms that formulate the greedy function of this method only. .
文摘The new curriculum standard requires high school physics teaching to adhere to a more open teaching concept, adhere to the physics teaching to highlight the experimental ability, awaken students' thinking with problems, and cultivate students' ability to ask, explore and solve problems. Therefore, the problem is not only a clue that runs through physics teaching, but also a starting point to explore new knowledge. Problem-based teaching is an effective way to cultivate students' scientific thinking and scientific methods. High school physics teachers should use the problem chain as a guide in teaching practice, according to students' cognitive status, to stimulate students' interest in learning and exploring science, so as to more efficiently promote the development of students' core quality in physics.
文摘The problem chain teaching method is a kind of teaching mode based on the problem consciousness guidance, which carries out the corresponding teaching activities through the interlocking problem design, guides the students to think deeply and explore with effective problems, and promotes the students' all-round development. Designing problem chains in the special teaching of "basic principles of Marxism" can effectively improve the teaching quality. The special teaching based on the problem chain design will help the "principle" class to become an ideological and political class with advanced "formula", "craftsmanship" exquisite, "packaging" fashion, and lead college students to establish a scientific world outlook, values and outlook on life. This paper focuses on the connotation, presentation and design of problem chains.
文摘为降低需求不确定对食品冷链物流的影响,考虑车速、载重等参数,建立油耗测度模型;引入新鲜度衰减函数计算食品配送过程中的货损成本。在此基础上,根据时间窗和零售商服务水平等约束,以包括碳排放成本在内的总成本最低为目标,构建需求不确定的低碳库存-路径联合优化模型。通过机会约束规划模型进行确定性转化,设计一种基于Tent映射的混沌粒子群优化算法(chaotic particle swarm optimization algorithm based on Tent mapping,TCPSO)对优化模型进行求解。实验结果表明,与单独优化模型相比,联合优化模型的总成本降低了4.95%~9.03%,碳排放成本降低了3.32%~7.59%,物流成本和碳排放量均降低。通过改变车速和需求变异系数,发现总成本随车速增大先降低后上升,随需求波动增大而上升。实例证明所构建的优化模型和设计的算法有效且具有鲁棒性。
