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APPLICATION ON THE PARTNER SELECTION OF THE CONCRETE VIRTUAL ENTERPRISE BASED ON gaaa

APPLICATION ON THE PARTNER SELECTION OF THE CONCRETE VIRTUAL...

2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

作者： Chunliang Zhou SoftwareCollege Ningbo Dahongying UniversityNingbo 315175P.R.China

With the rapid development of economy globalization, the competitions among the concrete enterprises have been fiercer and *** traditional enterprise working modes are unavailable to fit the great market *** enterprise, a new enterprise collaboration mode,is a shortcut for fitting the fast mutative *** helps to accelerate enterprise's response to the market, and avail enterprise's *** to find the right partner from the enterprises is a key process to form the virtual *** with ant algorithm and genetic algorithm,we propose the gaaa *** prove its efficiency by experiments with genetic algorithm.

关键词： Concrete virtual enterprise Partner selection Genetic algorithm gaaa algorithm

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APPLICATION ON THE PARTNER SELECTION OF THE CONCRETE VIRTUAL ENTERPRISE BASED ON gaaa

APPLICATION ON THE PARTNER SELECTION OF THE CONCRETE VIRTUAL...

引用

2009中国宁波国际计算机科学与技术学术大会

作者： Chunliang Zhou Software College Ningbo Dahongying University

With the rapid development of economy globalization,the competitions among the concrete enterprises have been fiercer and *** traditional enterprise working modes are unavailable to fit the great market *** enterprise,a new enterprise collaboration mode,is a shortcut for fitting the fast mutative *** helps to accelerate enterprise's response to the market,and avail enterprise's *** to find the right partner from the enterprises is a key process to form the virtual *** with ant algorithm and genetic algorithm,we propose the gaaa *** prove its efficiency by experiments with genetic algorithm.

关键词： Concrete virtual enterprise Partner selection Genetic algorithm gaaa algorithm

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Combination of genetic algorithm and ant algorithm and its application to QoS multicast routing

Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/...

引用

Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) 2005年第6期29卷 932-935页

作者： Qu, Jianwei Li, Layuan Department of Computer Science Wuhan University of Technology Wuhan 430063 China

The multicast routing problem with QoS constraints such as delay, delay jitter, bandwidth and packet loss metrics is discussed. A network model that is suitable to study such routing problems is described. A combination of genetic algorithm and ant algorithm (gaaa) is given for multiple constrained QoS multicast routing. It adopts genetic algorithm to solve and to give information pheromone, to distribute and make use of its ability of quickness and randomness on a globally searching. At the same time, it gives a well solution making use of the characteristics of ant algorithm, converges on optimization pass information pheromone quickly. Simulation results show that the algorithm is valid and effective.

关键词： Ant algorithm gaaa algorithm Genetic algorithm Multicast routing QoS routing

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