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Composition of Web Services of Multi-Population Adaptive Genetic Algorithm Based on Cosine Improvement 被引量:1
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作者 Siyuan Meng Chuancheng Zhang 《Journal of Computer and Communications》 2021年第6期109-119,共11页
Web quality of service (QoS) awareness requires not only the selection of specific services to complete specific tasks, but also the comprehensive quality of service of the whole web service composition. How to select... Web quality of service (QoS) awareness requires not only the selection of specific services to complete specific tasks, but also the comprehensive quality of service of the whole web service composition. How to select the web service composition with the highest comprehensive QoS is a NP hard problem. In this paper, an improved multi population genetic algorithm is proposed. Cosine adaptive operator is added to the algorithm to avoid premature algorithm caused by improper genetic operator and the disadvantage of destroying excellent individuals in later period. Experimental results show that compared with the common genetic algorithm and multi population genetic algorithm, this algorithm has the advantages of shorter time consumption and higher accuracy, and effectively avoids the loss of effective genes in the population. 展开更多
关键词 Web Service Composition Multi-Population genetic Algorithm QOS Cosine Improved Adaptive genetic Operator
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CONVERGENCE RATES FOR A CLASS OF EVOLUTIONARY ALGORITHMS WITH ELITIST STRATEGY
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作者 丁立新 康立山 《Acta Mathematica Scientia》 SCIE CSCD 2001年第4期531-540,共10页
This paper discusses the convergence rates about a class of evolutionary algorithms in general search spaces by means of the ergodic theory in Markov chain and some techniques in Banach algebra. Under certain conditio... This paper discusses the convergence rates about a class of evolutionary algorithms in general search spaces by means of the ergodic theory in Markov chain and some techniques in Banach algebra. Under certain conditions that transition probability functions of Markov chains corresponding to evolutionary algorithms satisfy, the authors obtain the convergence rates of the exponential order. Furthermore, they also analyze the characteristics of the conditions which can be met by genetic operators and selection strategies. 展开更多
关键词 convergence rate Markov chain Banach algebra genetic operator elitist selection evolutionary algorithms
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Evolving Objects for Software Engineering
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作者 Wang xiao\|ling, Dong yi\|sheng Department of Computer Science and Engineering Southeast university, Nanjing 210018,China 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期263-267,共5页
This paper is concerned with evolving objects method for software design that can adapt to the changing environments and requirements automatically. We present system architecture with objects library, where there are... This paper is concerned with evolving objects method for software design that can adapt to the changing environments and requirements automatically. We present system architecture with objects library, where there are objects based on domain ontologies. We define some genetic operators for objects, and discuss how to apply these genetic operators on objects to get new objects, which can satisfy new requirements. 展开更多
关键词 object oriented ONTOLOGY evolving objects meta object genetic operator mutation operator crossover operator
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