"Death of a Salesman"is important not only in its contents, but also in its creative techniques. This paper will focus on Miller's specific methods with which he depicts Willy's inner world. To be ex..."Death of a Salesman"is important not only in its contents, but also in its creative techniques. This paper will focus on Miller's specific methods with which he depicts Willy's inner world. To be exact, he borrowed some techniques from the films to achieve a free exchange of space and time, that is, to make Willy's remembrance and illusion audio-visual, making the play characteristic of the films.展开更多
Death of a Salesman is the greatest masterpiece of Arthur Miller.The play is about a common man trying to reach his American dream and the disillusionment of his dream.This paper mainly analyzes the symbols that are u...Death of a Salesman is the greatest masterpiece of Arthur Miller.The play is about a common man trying to reach his American dream and the disillusionment of his dream.This paper mainly analyzes the symbols that are used in the play to embody the theme.展开更多
American Dream refers to the belief of the majority of Americans.Through hard work,thrift,and determination,they can surely achieve a better life and live a comfortable life.Such an American Dream has a profound influ...American Dream refers to the belief of the majority of Americans.Through hard work,thrift,and determination,they can surely achieve a better life and live a comfortable life.Such an American Dream has a profound influence on several generations of Americans.American Dream has a close relationship with people' s working life and cultural activities.Death of a Salesman is a typical play about the pursuit and the illusionary of the Dream follower.In Death of a Salesman,the American Dream is the main hero as well as Willy Loman' s spiritual pillar.The pursuit,the realization,and the disillusionment of the American Dream develop with Willy and his family.展开更多
Arthur Miller's Death of a Salesman takes advantage of the flute music to strengthen the atmosphere of stage, thus acoustically making people immerse the scene of the drama. The paper explores the conflicts and co...Arthur Miller's Death of a Salesman takes advantage of the flute music to strengthen the atmosphere of stage, thus acoustically making people immerse the scene of the drama. The paper explores the conflicts and connections in this drama through the flute music, such as work and family, agriculture and business, work and family.展开更多
Arthur Miller is one of the representatives of American playwrights in 1940 s. Miller's contribution to modern drama lies in making a good expression of the common's tragedy in his drama. Thus he is called as&...Arthur Miller is one of the representatives of American playwrights in 1940 s. Miller's contribution to modern drama lies in making a good expression of the common's tragedy in his drama. Thus he is called as"an American Ibsenian playwright". The Death of a Salesman, Miller's masterwork, presents a society in pursuit of"success". In it, the hero is just a poor man with failures, and his disillusionment of dream ends up with his tragic death. This thesis primarily summarizes the former studies of the Death of a Salesman, and from a novel prospective, focuses on exploring the reasons and results of the hero's loneliness, so as to further the study of the tragic spirit in it.展开更多
In this paper, recent developments of some heuristic algorithms were discussed. The focus was laid on the improvements of ant-cycle (AC) algorithm based on the analysis of the performances of simulated annealing (SA) ...In this paper, recent developments of some heuristic algorithms were discussed. The focus was laid on the improvements of ant-cycle (AC) algorithm based on the analysis of the performances of simulated annealing (SA) and AC for the traveling salesman problem (TSP). The Metropolis rules in SA were applied to AC and turned out an improved AC. The computational results obtained from the case study indicated that the improved AC algorithm has advantages over the sheer SA or unmixed AC.展开更多
A new local search method for the traveling salesman problem based on an original greedy representation of solution space and neighborhood structure is proposed. First, a partial closed route that only consists of thr...A new local search method for the traveling salesman problem based on an original greedy representation of solution space and neighborhood structure is proposed. First, a partial closed route that only consists of three cities is given; then other cities are added to this route by a greedy procedure successively. Implemented on a personal computer, this algorithm finds optimal solutions for 24 out of 27 standard benchmarks, and outperforms the Full Subpath Ejection Algorithm (F-SEC) proposed by Rego in 1998.展开更多
This is an analysis of the character Willy Loman in Arthur Miller’play Death of a Salesman,who is a salesman living in his own"American Dream".His dream is shattered and finally destroyed by reality,so he c...This is an analysis of the character Willy Loman in Arthur Miller’play Death of a Salesman,who is a salesman living in his own"American Dream".His dream is shattered and finally destroyed by reality,so he chooses to die in the hope that he may retain his dignity and practically render some help to his family with the assurance.展开更多
In Death of a Traveling Salesman,Eudora Welty's idyllic view on life in the countryside,her nostalgic feelings for the loss of the American Southern tradition,and her protest against the industrialization of the c...In Death of a Traveling Salesman,Eudora Welty's idyllic view on life in the countryside,her nostalgic feelings for the loss of the American Southern tradition,and her protest against the industrialization of the city life are demonstrated by compar ing the"alone"of the couple in the countryside and the"lonely"of R. J. Bowman as a traveling salesman in the city.展开更多
Death of A Salesman is the representative works,of the famous American playwright Arthur Miller(Arthur Miller,1915-2005).It is one of the most influential drama scripts in the history of American.This paper analyzes t...Death of A Salesman is the representative works,of the famous American playwright Arthur Miller(Arthur Miller,1915-2005).It is one of the most influential drama scripts in the history of American.This paper analyzes the performance of stream of consciousness,based on the stream of consciousness by way of analysis,layer by layer to reveal the theme of performance and realism in the novel Death of A Salesman,and deepen the meaning the author wants to express in the aspect of the art effect.展开更多
Travelling Salesman Problem(TSP) is a classical optimization problem and it is one of a class of NP-Problem.The purposes of this work is to apply data mining methodologies to explore the patterns in data generated by ...Travelling Salesman Problem(TSP) is a classical optimization problem and it is one of a class of NP-Problem.The purposes of this work is to apply data mining methodologies to explore the patterns in data generated by an Ant Colony Algorithm(ACA) performing a searching operation and to develop a rule set searcher which approximates the ACA′s searcher.An attribute-oriented induction methodology was used to explore the relationship between an operations′ sequence and its attributes and a set of rules has been developed.At the end of this paper,the experimental results have shown that the proposed approach has good performance with respect to the quality of solution and the speed of computation.展开更多
Recent studies employing deep learning to solve the traveling salesman problem(TSP)have mainly focused on learning construction heuristics.Such methods can improve TSP solutions,but still depend on additional programs...Recent studies employing deep learning to solve the traveling salesman problem(TSP)have mainly focused on learning construction heuristics.Such methods can improve TSP solutions,but still depend on additional programs.However,methods that focus on learning improvement heuristics to iteratively refine solutions remain insufficient.Traditional improvement heuristics are guided by a manually designed search strategy and may only achieve limited improvements.This paper proposes a novel framework for learning improvement heuristics,which automatically discovers better improvement policies for heuristics to iteratively solve the TSP.Our framework first designs a new architecture based on a transformer model to make the policy network parameterized,which introduces an action-dropout layer to prevent action selection from overfitting.It then proposes a deep reinforcement learning approach integrating a simulated annealing mechanism(named RL-SA)to learn the pairwise selected policy,aiming to improve the 2-opt algorithm's performance.The RL-SA leverages the whale optimization algorithm to generate initial solutions for better sampling efficiency and uses the Gaussian perturbation strategy to tackle the sparse reward problem of reinforcement learning.The experiment results show that the proposed approach is significantly superior to the state-of-the-art learning-based methods,and further reduces the gap between learning-based methods and highly optimized solvers in the benchmark datasets.Moreover,our pre-trained model M can be applied to guide the SA algorithm(named M-SA(ours)),which performs better than existing deep models in small-,medium-,and large-scale TSPLIB datasets.Additionally,the M-SA(ours)achieves excellent generalization performance in a real-world dataset on global liner shipping routes,with the optimization percentages in distance reduction ranging from3.52%to 17.99%.展开更多
文摘"Death of a Salesman"is important not only in its contents, but also in its creative techniques. This paper will focus on Miller's specific methods with which he depicts Willy's inner world. To be exact, he borrowed some techniques from the films to achieve a free exchange of space and time, that is, to make Willy's remembrance and illusion audio-visual, making the play characteristic of the films.
文摘Death of a Salesman is the greatest masterpiece of Arthur Miller.The play is about a common man trying to reach his American dream and the disillusionment of his dream.This paper mainly analyzes the symbols that are used in the play to embody the theme.
文摘American Dream refers to the belief of the majority of Americans.Through hard work,thrift,and determination,they can surely achieve a better life and live a comfortable life.Such an American Dream has a profound influence on several generations of Americans.American Dream has a close relationship with people' s working life and cultural activities.Death of a Salesman is a typical play about the pursuit and the illusionary of the Dream follower.In Death of a Salesman,the American Dream is the main hero as well as Willy Loman' s spiritual pillar.The pursuit,the realization,and the disillusionment of the American Dream develop with Willy and his family.
文摘Arthur Miller's Death of a Salesman takes advantage of the flute music to strengthen the atmosphere of stage, thus acoustically making people immerse the scene of the drama. The paper explores the conflicts and connections in this drama through the flute music, such as work and family, agriculture and business, work and family.
文摘Arthur Miller is one of the representatives of American playwrights in 1940 s. Miller's contribution to modern drama lies in making a good expression of the common's tragedy in his drama. Thus he is called as"an American Ibsenian playwright". The Death of a Salesman, Miller's masterwork, presents a society in pursuit of"success". In it, the hero is just a poor man with failures, and his disillusionment of dream ends up with his tragic death. This thesis primarily summarizes the former studies of the Death of a Salesman, and from a novel prospective, focuses on exploring the reasons and results of the hero's loneliness, so as to further the study of the tragic spirit in it.
文摘In this paper, recent developments of some heuristic algorithms were discussed. The focus was laid on the improvements of ant-cycle (AC) algorithm based on the analysis of the performances of simulated annealing (SA) and AC for the traveling salesman problem (TSP). The Metropolis rules in SA were applied to AC and turned out an improved AC. The computational results obtained from the case study indicated that the improved AC algorithm has advantages over the sheer SA or unmixed AC.
文摘A new local search method for the traveling salesman problem based on an original greedy representation of solution space and neighborhood structure is proposed. First, a partial closed route that only consists of three cities is given; then other cities are added to this route by a greedy procedure successively. Implemented on a personal computer, this algorithm finds optimal solutions for 24 out of 27 standard benchmarks, and outperforms the Full Subpath Ejection Algorithm (F-SEC) proposed by Rego in 1998.
文摘This is an analysis of the character Willy Loman in Arthur Miller’play Death of a Salesman,who is a salesman living in his own"American Dream".His dream is shattered and finally destroyed by reality,so he chooses to die in the hope that he may retain his dignity and practically render some help to his family with the assurance.
文摘In Death of a Traveling Salesman,Eudora Welty's idyllic view on life in the countryside,her nostalgic feelings for the loss of the American Southern tradition,and her protest against the industrialization of the city life are demonstrated by compar ing the"alone"of the couple in the countryside and the"lonely"of R. J. Bowman as a traveling salesman in the city.
文摘Death of A Salesman is the representative works,of the famous American playwright Arthur Miller(Arthur Miller,1915-2005).It is one of the most influential drama scripts in the history of American.This paper analyzes the performance of stream of consciousness,based on the stream of consciousness by way of analysis,layer by layer to reveal the theme of performance and realism in the novel Death of A Salesman,and deepen the meaning the author wants to express in the aspect of the art effect.
文摘Travelling Salesman Problem(TSP) is a classical optimization problem and it is one of a class of NP-Problem.The purposes of this work is to apply data mining methodologies to explore the patterns in data generated by an Ant Colony Algorithm(ACA) performing a searching operation and to develop a rule set searcher which approximates the ACA′s searcher.An attribute-oriented induction methodology was used to explore the relationship between an operations′ sequence and its attributes and a set of rules has been developed.At the end of this paper,the experimental results have shown that the proposed approach has good performance with respect to the quality of solution and the speed of computation.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.72101046 and 61672128)。
文摘Recent studies employing deep learning to solve the traveling salesman problem(TSP)have mainly focused on learning construction heuristics.Such methods can improve TSP solutions,but still depend on additional programs.However,methods that focus on learning improvement heuristics to iteratively refine solutions remain insufficient.Traditional improvement heuristics are guided by a manually designed search strategy and may only achieve limited improvements.This paper proposes a novel framework for learning improvement heuristics,which automatically discovers better improvement policies for heuristics to iteratively solve the TSP.Our framework first designs a new architecture based on a transformer model to make the policy network parameterized,which introduces an action-dropout layer to prevent action selection from overfitting.It then proposes a deep reinforcement learning approach integrating a simulated annealing mechanism(named RL-SA)to learn the pairwise selected policy,aiming to improve the 2-opt algorithm's performance.The RL-SA leverages the whale optimization algorithm to generate initial solutions for better sampling efficiency and uses the Gaussian perturbation strategy to tackle the sparse reward problem of reinforcement learning.The experiment results show that the proposed approach is significantly superior to the state-of-the-art learning-based methods,and further reduces the gap between learning-based methods and highly optimized solvers in the benchmark datasets.Moreover,our pre-trained model M can be applied to guide the SA algorithm(named M-SA(ours)),which performs better than existing deep models in small-,medium-,and large-scale TSPLIB datasets.Additionally,the M-SA(ours)achieves excellent generalization performance in a real-world dataset on global liner shipping routes,with the optimization percentages in distance reduction ranging from3.52%to 17.99%.
