2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications最新文献_第4页

UML for XML-GL Query Using Class Diagram and OCL 使用类图和OCL进行XML-GL查询的UML

2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications Pub Date : 2009-12-02 DOI: 10.1109/SERA.2009.34

Bong-Jin Choi, Yong-Sung Kim, Yan Ha

引用次数: 2

Using TTCN-3 in Performance Test for Service Application TTCN-3在服务应用性能测试中的应用

2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications Pub Date : 2009-12-02 DOI: 10.1109/SERA.2009.18

Min Shan, Xianrong Wang, Lijun Zhao, Lili Guo

引用次数: 0

VRFPS: A Novel Virtual Machine-Based Real-time File Protection System VRFPS:一种新的基于虚拟机的实时文件保护系统

2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications Pub Date : 2009-12-02 DOI: 10.1109/SERA.2009.23

Feng Zhao, Yali Jiang, Guofu Xiang, Hai Jin, Wenbin Jiang

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引用次数: 11

Synthesis Constraints Optimized Genetic Algorithm for Autonomous Task Planning and Allocating in MAS MAS中自主任务规划与分配的综合约束优化遗传算法

2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications Pub Date : 2009-12-01 DOI: 10.1109/SERA.2009.21

Kailong Zhang, Xingshe Zhou, Chongqing Zhao, Yuan Yao

{"title":"Synthesis Constraints Optimized Genetic Algorithm for Autonomous Task Planning and Allocating in MAS","authors":"Kailong Zhang, Xingshe Zhou, Chongqing Zhao, Yuan Yao","doi":"10.1109/SERA.2009.21","DOIUrl":"https://doi.org/10.1109/SERA.2009.21","url":null,"abstract":"Now, autonomous tasks planning and allocating (TPA) in Multi Agent System (MAS) has been one key and fundamental problem to promote the intelligent level of such system. Autonomous TPA means that, all tasks should be (re)planned and (re)allocated automatically according to the synthesis constraints and the dynamic environment aspects, such as the changing mission, status of each member, and topology, etc. In this article, the formal descriptions of hierarchical tasks and models of logic constraints are studied firstly. And then, some new methods are proposed to evaluate the efficiency of synthesis constraints. Moreover, the key elements, e.g. task allocation vector (TAV), are designed with the theory of genetic algorithm (GA), and a TPA problem can be mapped to the solving model of GA. Based on above, the crossover and mutation operators of GA are optimized with the domain knowledge to perfect the solving efficiency and quality while ensuring the randomicity of evolution. The simulation results show that the solving quality and velocity are improved with studied methods.","PeriodicalId":333607,"journal":{"name":"2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114169760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2