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Advances on QoS-aware web service selection and composition with nature-inspired computing 被引量:3
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作者 xinchao zhao Rui Li Xingquan Zuo 《CAAI Transactions on Intelligence Technology》 2019年第3期159-174,共16页
Service-oriented architecture is becoming a major software framework for complex application and it can be dynamically and flexibly composed by integrating existing component web services provided by different provide... Service-oriented architecture is becoming a major software framework for complex application and it can be dynamically and flexibly composed by integrating existing component web services provided by different providers with standard protocols. The rapid introduction of new web services into a dynamic business environment can adversely affect the service quality and user satisfaction. Therefore, how to leverage, aggregate and make use of individual component’s quality of service (QoS) information to derive the optimal QoS of the composite service which meets the needs of users is still an ongoing hot research problem. This study aims at reviewing the advance of the current state-of-the-art in technologies and inspiring the possible new ideas for web service selection and composition, especially with nature-inspired computing approaches. Firstly, the background knowledge of web services is presented. Secondly, various nature-inspired web selection and composition approaches are systematically reviewed and analysed for QoS-aware web services. Finally, challenges, remarks and discussions about QoS-aware web service composition are presented. 展开更多
关键词 ADVANCES QOS-AWARE web service SELECTION COMPOSITION
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Guest Editorial:Advances in Bio-inspired Heuristics for Computing
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作者 xinchao zhao MAOGUO GONG +1 位作者 XINGQUAN ZUO LINQIANG PAN 《CAAI Transactions on Intelligence Technology》 2019年第3期127-128,共2页
Bio-inspired computing (BIC), short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. The field of b... Bio-inspired computing (BIC), short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. The field of bio-inspired computing brings together researchers from many disciplines, including biology, computer science, mathematics, physics and genetics. 展开更多
关键词 GUEST EDITORIAL ADVANCES BIO-INSPIRED HEURISTICS COMPUTING
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Coupled Tamm plasmon polaritons induced narrow bandpass filter with ultra-wide stopband 被引量:2
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作者 Qingquan Liu xinchao zhao +4 位作者 Chenlu Li Xinglei Zhou Yu Chen Shaowei Wang Wei Lu 《Nano Research》 SCIE EI CSCD 2022年第5期4563-4568,共6页
Narrow bandpass filters(NBPFs)play important roles in optics,such as quantum communication,spectrometer,and wavelength division multiplexing.However,the stopband and restraint ability of traditional NBPFs is limited.I... Narrow bandpass filters(NBPFs)play important roles in optics,such as quantum communication,spectrometer,and wavelength division multiplexing.However,the stopband and restraint ability of traditional NBPFs is limited.In this article,a coupled Tamm plasmon polaritons(TPPs)induced transmission theory has been proposed to design high-efficiency NBPFs with ultra-wide deep stopbands.An NBPF at 1.55 μm has been experimentally demonstrated with full width at half maximum(FWHM)of 10 nm and stopband ranging from 0.2 to 25 μm which is 62 times wider than that of traditional ones.Furthermore,the restraint depth of the stopband reaches 0.03%,which is only 1/20 of a traditional filter with the same FWHM.Its advantage in restraining ambient light over traditional ones has also been demonstrated with an InGaAs infrared detector.It provides a very powerful way to capture specific narrowband optical signals from ultra-wide strong ambient light,especially useful for daytime quantum communications. 展开更多
关键词 Tamm plasmon polaritons coupled induced transmission narrow bandpass filter ultra-wide stopband
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EXPLORATION/EXPLOITATION TRADEOFF WITH CELL-SHIFT AND HEURISTIC CROSSOVER FOR EVOLUTIONARY ALGORITHMS
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作者 xinchao zhao Junling HAO 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2007年第1期66-74,共9页
In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm (EA) is proposed in this paper. The definition domain is divided into n-... In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm (EA) is proposed in this paper. The definition domain is divided into n-dimension cubic sub-domains (cell) and each individual locates at an ndimensional cube. Cell-shift crossover first exchanges the cell numbers of the crossover pair if they are in the different cells (exploration) and subsequently shift the first individual from its initial place to the other individual's cell place. If they are already in the same cell heuristic crossover (exploitation) is used. Cell-shift/heuristic crossover adaptively executes exploration/exploitation search with the vary of genetic diversity. The cell-shift EA has excellent performance in terms of efficiency and efficacy on ten usually used optimization benchmarks when comparing with the recent well-known FEP evolutionary algorithm. 展开更多
关键词 Cell-shift crossover evolutionary algorithm exploration/exploitation tradeoff heuristic crossover numerical optimization.
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