Evolutionary Negative Selection Algorithms (ENSAs) could be regarded as hybrid algorithms of Evolutionary Algorithms (EAs) and Negative Selection Algorithms (NSAs). The average time complexity of ENSAs on combinationa...
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Evolutionary Negative Selection Algorithms (ENSAs) could be regarded as hybrid algorithms of Evolutionary Algorithms (EAs) and Negative Selection Algorithms (NSAs). The average time complexity of ENSAs on combinational optimization problems has never been studied before. In this paper, the average time complexity of ENSAs on one combinational optimization problem is analyzed. The theoretical results demonstrate that, for the Two Max function, the ENSA with an appropriate matching threshold could perform better than the traditional (N+N) EA. Some simulation experiments on the combinational problem are also done, and the experimental results are consistent with theoretical results.
This paper presents the expert fault monitoring and intelligent comprehensive control of a proton exchange membrane (PEM) fuel cell (PEMFC) as backup power source for an uninterruptible power supply (UPS) system. The ...
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ISBN:
(纸本)9781424428922
This paper presents the expert fault monitoring and intelligent comprehensive control of a proton exchange membrane (PEM) fuel cell (PEMFC) as backup power source for an uninterruptible power supply (UPS) system. The failure status can be shown on the screen of a micro-computer (or a PC) linked with the UPS through an RS-232 and on the control panel of the UPS through LED indicator lights. The proposed intelligent comprehensive monitors and controllers of PEMFC and UPS can supply high quality power with flexible conversion functions, leading to the establishment of reliable power management for UPS applications. Finally, a suitable strategy and technique of fault monitoring and control for a UPS hybrid system with backup PEMFC and battery is implemented. The performances of the monitors and controllers are evaluated by experimental results, showing that the developed UPS system with backup PEMFC and battery power sources is suitable for industry applications.
Analytical and numerical solutions of the Schroedinger Equation which was satisfied by the propagator P(b, a) , including all the paths contribution, are discussed. The definition of Schrödinger transform of imag...
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Due to the urgent requirements of mass data processing in the field of astronomy, with the advent of network grid computing techniques, a scientific workflow technique was presented and quickly adopted for distributed...
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Due to the urgent requirements of mass data processing in the field of astronomy, with the advent of network grid computing techniques, a scientific workflow technique was presented and quickly adopted for distributed astronomical data processing. However, current existing scientific workflow systems are too complex and enormous in system deployment and system manipulation. Few people can master it in a short period. In this paper, we presented a lightweight scientific workflow system, C-SWF, which is specially designed for astronomy. All required fundamental functions, such as task customization, data movement, provenance and task re-run mechanisms, are fully implemented. Comparing with the existing scientific workflow system, C-SWF provides many useful features such as simple, high performance and is easy to deploy in order to meet the requirements of astronomers.
Entity relation extraction is an important research field in information extraction. In this paper, a machine learning algorithm that use maximum entropy to extract relations between entities in the filed of tourism i...
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Deep Web sources classification is one of key steps in Large-scale data integration, and structured query interface of Deep Web serves as a valid approach for research on online databases organization by domains. This...
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A large number of high-quality web information is deeply hidden in the Web, which can not be indexed by conventional search engines, be called Deep Web. Because query interface is the only entrance to the Deep Web, we...
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The traditional syntactic service matchmaking is lack of semantic information with machine understandable, so it can not achieve intelligent service discovery. In this paper, the fuzzy nature of matchmaking is conside...
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ISBN:
(纸本)9781424441327
The traditional syntactic service matchmaking is lack of semantic information with machine understandable, so it can not achieve intelligent service discovery. In this paper, the fuzzy nature of matchmaking is considered, and the conceptions of linguistic variables in fuzzy logics are introduced into service matchmaker. The matchmaking linguistic variables and the fuzzy relationship matrix are defined, and conjunction degree of fuzzy key words sets is proposed to solve the semantic match problem between service description and service request. The research provides a new valuable way for studying intelligent service discovery.
Motif pairs can provide insight on how protein-protein interactions are encoded. Their discovery requires laborious and expensive biological experiments. Recently, Tan et al. proposed a computational approach to find ...
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Motif pairs can provide insight on how protein-protein interactions are encoded. Their discovery requires laborious and expensive biological experiments. Recently, Tan et al. proposed a computational approach to find motif pairs in the sequences of interacting proteins. However, their approach suffers from two drawbacks. The heuristic used in their approach is not accurate and may lead to a result including some false positive motif instances. Their approach is also not scalable. It may take days to process a set of 5000 protein sequences with about 20,000 interactions. We present in this work a new algorithm DMPCP, which finds motifs from a subset of proteins and then pairs them up according to Chi-squared scoring functions. Experiments on real biological datasets and simulated datasets show that our approach is efficient and can find actual motif pairs. We also evaluated our approach on simulated datasets with planted motif pairs. The results show that our approach can achieve high success rates when interaction data is insufficient.
Fuzzy time series forecasting model is an effective method to solve the nonlinear problems forecasting. However, most published fuzzy time series based models did not count the change trend implicit in historical datu...
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Fuzzy time series forecasting model is an effective method to solve the nonlinear problems forecasting. However, most published fuzzy time series based models did not count the change trend implicit in historical datum. In this paper, authors proposed a novel method which applied heuristic information to the fuzzy time series model based on Fibonacci sequence. As an example, the USD/JPY exchange rate is tested in this model. The results show that this method not only improves the forecasting accuracy, but decreases the computational complexity.
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