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检索条件"任意字段=International Conference on Machine Learning and Computing(ICMLC 2009)"
1949 条 记 录,以下是1701-1710 订阅
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Comparison study of genetic algorithm and evolutionary programming
Comparison study of genetic algorithm and evolutionary progr...
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international conference on machine learning and Cybernetics (icmlc)
作者: Wei Gao Wuhan Polytechnic University Wuhan China
Genetic algorithm and evolutionary programming are two generally used evolutionary algorithms. Due to the difference of their origin, there are a lot of differences between their biologic bases, algorithm operation an... 详细信息
来源: 评论
An edge detector based on parallel quantum-inspired evolutionary algorithm
An edge detector based on parallel quantum-inspired evolutio...
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international conference on machine learning and Cybernetics (icmlc)
作者: Ying Li Yan-Ning Zhang Rong-Chun Zhao Li-Cheng Jiao School 6f Electronic Engineering Xidian University Xi'an China School of Computer Northwestern Polytechnical University Xi'an China
This work proposes a hybrid parallel quantum-inspired evolutionary algorithm (PQEA) based on cost minimization technique for edge detection. Quantum-inspired evolutionary algorithm (QEA) is based on the concepts and p... 详细信息
来源: 评论
Intrusion detection using mobile agent in ad-hoc networks
Intrusion detection using mobile agent in ad-hoc networks
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international conference on machine learning and Cybernetics (icmlc)
作者: Yan Xia Ren-Fa Li Ken-Li Li Key Laboratory of Embedded System and Computing College of Computer and Communication Hunan University Changsha China
Security has become an important issue for mobile ad hoc networks especially for the more security-sensitive applications used in military and critical networks. As a positive protection, intrusion detection system ha... 详细信息
来源: 评论
A fast flowtime-computing procedure and its applications to heuristics for flow shops with flowtime minimization
A fast flowtime-computing procedure and its applications to ...
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international conference on machine learning and Cybernetics (icmlc)
作者: Xiao-Ping Li Lian-Chen Liu Cheng Wu Department of Computer Science & Technology Harbin University of Science and Technology Harbin China Department of Automation Tsinghua University Beijing Beijing China
FFC (fast flowtime-computing) is presented for flowtime computing in flow shops. Generally, FFC is faster than the classical flowtime computing procedure in which all jobs should be calculated. Because computing flowt... 详细信息
来源: 评论
Genetic algorithm application on the job shop scheduling problem
Genetic algorithm application on the job shop scheduling pro...
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international conference on machine learning and Cybernetics (icmlc)
作者: C.G. Wu X.L. Xing H.P. Lee C.G. Zhou Y.C. Liang College of Computer Science and Technology Jilin University Changchun China Institute of High Performance Computing Singapore Department of Optoelectronic Engineering Beijing Institute of Technology Beijing China
Based on the concepts of operation template and virtual job shop, this paper attempts to solve several job shop scheduling problems with different scale and analyzes the relationship among the population size, mutatio... 详细信息
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Research and realization of consistent maintenance of the mobile data replication based on the user semantics rules and transaction engine
Research and realization of consistent maintenance of the mo...
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international conference on machine learning and Cybernetics (icmlc)
作者: Liang Li Jing-Jing Li Lei Li Tao Zhang Institute of Software Sun Yat-Sen University Guangzhou China
In mobile database system, normally duplicate and synchronous replicate are adopted to improving the processing efficiency. The past researches seldom touched the relation between the time of duplicate update and mobi... 详细信息
来源: 评论
Multi-agent framework for distributed systems
Multi-agent framework for distributed systems
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international conference on machine learning and Cybernetics (icmlc)
作者: Chao Deng Yang-Jian Gang Department of Computer Science University of Zhejiang Hangzhou China
With the development of Internet, the environment of distributed systems is very different from that of traditional ones. Due to the diversity and heterogeneity in terms of the types of client devices and network conn... 详细信息
来源: 评论
An implementation of code-uploading mechanism in grid mobile service
An implementation of code-uploading mechanism in grid mobile...
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international conference on machine learning and Cybernetics (icmlc)
作者: Xiao-Li Huo Wei Zhang Wen-Li Zhang Dan Ma Computer School Huazhong University of Science and Technology Hubei China University of Jiaozuo Henan China Wuhan Maritime Safety Administration Hubei China
Grid computing is a kind of distributed computing paradigm, with its goal to share the resources (CPU, memory, etc.,) among virtual organizations. In the latest researches, open grid services architecture (OGSA) devel... 详细信息
来源: 评论
Speculative computation with master agent belief revision and its algorithm for resource negotiation
Speculative computation with master agent belief revision an...
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international conference on machine learning and Cybernetics (icmlc)
作者: Li-Ming Wang Yu-Mei Chai Hou-Kuan Huang School of Information Engineering Zhengzhou University Zhengzhou China School of Computer and Information Technology Beijing Jiaotong University Beijing China
Speculative computation is a process which uses default hypothesis as tentative answer and continues computation when resource information cannot be obtained in time. In computing process, if the response is not consi... 详细信息
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A prototype of dynamically disseminating and discovering resource information for resource managements in computational grid
A prototype of dynamically disseminating and discovering res...
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international conference on machine learning and Cybernetics (icmlc)
作者: Xiu-Chuan Wu Hao Li Jiu-Bin Ju School of Computer Science & Technology Jilin University Jilin China
Resource dissemination and discovery is an important content in resource managements of computational grid. A prototype of dynamically disseminating and discovering resource information is designed and implemented in ... 详细信息
来源: 评论