0-1 programming was used widely. The implicit enumeration method for 0-1 programming is onerous. In the paper the implicit enumeration method for 0-1 programming was improved. The condition of element in the R sets wa...
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ISBN:
(纸本)9780769534848
0-1 programming was used widely. The implicit enumeration method for 0-1 programming is onerous. In the paper the implicit enumeration method for 0-1 programming was improved. The condition of element in the R sets was enacted over again. The pruning condition was clarified farther. In order to validate the improved arithmetic an example was given in the paper.
The well-placement of an enhanced geothermal system (EGS) is significant to its performance and economic viability because of the fractures in the thermal reservoir and the expensive cost of well-drilling. In this wor...
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The well-placement of an enhanced geothermal system (EGS) is significant to its performance and economic viability because of the fractures in the thermal reservoir and the expensive cost of well-drilling. In this work, a numerical simulation and genetic algorithm are combined to search for the optimization of the well-placement for an EGS, considering the uneven distribution of fractures. The fracture continuum method is used to simplify the seepage in the fractured reservoir to reduce the computational expense of a numerical simulation. In order to reduce the potential well-placements, the well-placement optimization problem is regarded as a 0-1 programming problem. A 2-D assumptive thermal reservoir model is used to verify the validity of the optimization method. The results indicate that the well-placement optimization proposed in this paper can improve the performance of an EGS.
In the fault diagnosis of bearings, the high flexibility of the asymmetric Gaussian chirplet model enables the adapted dictionary-free orthogonal matching pursuit to manifest good performance. Since this method does n...
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In the fault diagnosis of bearings, the high flexibility of the asymmetric Gaussian chirplet model enables the adapted dictionary-free orthogonal matching pursuit to manifest good performance. Since this method does not rely on predetermined dictionaries, it has potential advantages as well, especially for the impulses caused by compound faults that are multiple type's combination. Benefiting from the sparse representation architecture, the fault isolation can be skillfully converted into a 0-1 programming problem for elements selection in sparse vector, which may become one of the breakthroughs in solving compound faults' isolation. Consequently, this paper attempts to give a solution using signal processing. Specifically, the maximum entropy deconvolution adjusted technique is used for preprocessing, which includes noise reduction and impulsiveness enhancement. Notch filter and spectral subtraction is utilized for impulses screening and extraction, and spectrum is employed for fault diagnosis. Simulation analysis and experimental tests verify the proposed method, whose results illustrated the potentiality to response the compound fault isolation and diagnosis.
Network optimization design in industrial network can be defined as a multi-constraint optimization problem. To solve this optimization problem, 0-1 programming strategy is proposed to model the problem. The model is ...
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ISBN:
(纸本)9781424467129
Network optimization design in industrial network can be defined as a multi-constraint optimization problem. To solve this optimization problem, 0-1 programming strategy is proposed to model the problem. The model is then solved using NEOS server, a common optimization solver available over the Internet. The network designs obtained by 0-1 programming strategy are compared with those obtained by graph partitioning method and the experimental results demonstrate the network designs obtained by 0-1 programming scheme are comparable or better than graph partitioning strategy. For small-scale networks, 0-1 programming scheme is generally better than graph partitioning method.
Zero-one linear programming is a well-accepted approach for decision making for many real world problems. Optimal selection of collieries from a set of collieries for reconstruction is a policy of the concerned author...
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Zero-one linear programming is a well-accepted approach for decision making for many real world problems. Optimal selection of collieries from a set of collieries for reconstruction is a policy of the concerned authority. The selected collieries are funded for reconstruction based on certain criteria. No colliery will be partially funded, as it is not possible to reconstruct the colliery partially so it is required either to select or reject a colliery for reconstruction. Further, in the real field generally the data available are imprecise in nature. The present paper is concerned with the application of fuzzy 0-1 linear programming to select optimally a set of collieries from a given set of colliery projects for reconstruction with an optimal planning under existing constraints and fuzzy goals. The reconstruction problem is posed as multi objective decision making problem. The application potentiality of the model has been examined by using it in the context of a group of collieries need reconstruction investments in the Jharia Coalfield, Jharkhand, INDIA.
Based on the analysis of research progresses on combinatorial algorithm for integer programming,the binary-combinatorial algorithm and the genetic algorithm(GA) are *** improving genetic algorithm including the select...
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Based on the analysis of research progresses on combinatorial algorithm for integer programming,the binary-combinatorial algorithm and the genetic algorithm(GA) are *** improving genetic algorithm including the selection of fitness function,the improving of selection operator,the improving of crossover and mutation operator *** pointed *** genetic-combinatorial algorithm including the basic algorithm thought and the basic processing steps is presented at last,which can be used to solve a kind of 0-1 programming efficiently.
In practical operation of the thermal power plant, fault on coal mill is one of the principal factors that hinder the power plant from completing the power generating tasks on schedule. Therefore, early warning on coa...
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In practical operation of the thermal power plant, fault on coal mill is one of the principal factors that hinder the power plant from completing the power generating tasks on schedule. Therefore, early warning on coal mill failures is of great significance to guarantee the stability of thermal power plant and reliability of power supply to the grid system. In this paper, a multi-model fusion method based on 0-1 programming for early warning of the coal mill failure is proposed and evaluated. For this method, the background information and main features of the mill failure problems are taken into consideration, and an optimization algorithm is implemented to combine the results of multiple models. In the optimization algorithm, the sum of the false alarm cost and false negative cost is the objective, and whether accept the pre-warning or not is the variable. The method is evaluated in practical situations, and numerical test shows that the total cost of false alarm and false negative of multi-model fusion method is more promising than that of each single model. The validity is proved through the result.
Web Service is the best realization of SOA,which plays an important role in service *** the continuous development of service composition and increasing diversification of business demands,there are more than one solu...
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Web Service is the best realization of SOA,which plays an important role in service *** the continuous development of service composition and increasing diversification of business demands,there are more than one solution can be proposed to provide the similar *** such circumstances,how to measure the quality of solution quantitatively becomes the research focus of service composition *** this paper,we analyze the key factors of composite service from domain and runtime angle and classify the elements into three types by using HTN planning,besides this,an calculation model for value of composite service quality is constructed based on the 0-1 programming and implement an instance of service composition with this methodology.
In this paper, an optimization problem based on multi-wave missile launching mission planning and maneuvering route was studied. Firstly, a 0-1 integer programming model was established by using the global optimizatio...
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In this paper, an optimization problem based on multi-wave missile launching mission planning and maneuvering route was studied. Firstly, a 0-1 integer programming model was established by using the global optimization, and then the exposure time was defined as three parts: Road maneuvering time, node waiting time and waiting time for shooting at the same time. Because the road maneuvering time was the main time of them, the shortest path based on it was solved by Dijkstra algorithm. Finally, the results of global optimization were obtained by adjusting the latter two parts of time. The study of this problem provides a method for the task assignment problem with multi-waves, and can be extended to n waves easily.
We address the problem of planning outages of nuclear power plants submitted by EDF (A parts per thousand lectricit, De France) as the challenge EURO/ROADEF 2010. As our team won the first prize of the contest in the ...
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We address the problem of planning outages of nuclear power plants submitted by EDF (A parts per thousand lectricit, De France) as the challenge EURO/ROADEF 2010. As our team won the first prize of the contest in the senior category, our approach may be of interest: it is conceptually simple, easy to program and computationally relatively fast. We present both our method and some ideas to improve it.
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