基于改进的CHC遗传的可信服务组合方法（英文）

• 作 者: 曹步清 刘建勋 Xiaoqing(Frank) LIU 李兵 周栋 康国胜
• 机 构: Key Laboratory of Knowledge Processing and Networked Manufacture,School of Computer Science and Engi
• 出 处: 中国通信
• 发表日期: 2013年12期
• 关键词: trust 组合方法 uncertain recombination crossover extremely instance autonomic 遗传 fit

Trustworthy service composition is an extremely important task when service composition becomes infeasible or even fails in an environment which is open,autonomic,uncertain and deceptive.This paper presents a trustworthy service composition method based on an improved Cross generation elitist selection,Heterogeneous recombination,Catacly-smic mutation(CHC) Trustworthy Service Composition Method(CHC-TSCM) genetic algorithm.CHCTSCM firstly obtains the total trust degree of the individual service using a trust degree measurement and evaluation model proposed in previous research.Trust combination and computation then are performed according to the structural relation of the composite service.Finally,the optimal trustworthy service composition is acquired by the improved CHC genetic algorithm.Experimental results show that CHC-TSCM can effectively solve the trustworthy service composition problem.Comparing with GODSS and TOCSS,this new method has several advantages:1) a higher service composition successrate;2) a smaller decline trend of the service composition success-rate,and 3) enhanced stability.

Trustworthy service composition is an extremely important task when service composition becomes infeasible or even fails in an environment which is open, autonomic, uncertain and deceptive.This paper presents a trustworthy service composition method based on an improved Cross generation elitist selection, Heterogeneous recombination, Catacly -smic mutation (CHC) Trustworthy Service Composition Method (CHC-TSCM) genetic algorithm. CHCTSCM first obtains the total trust degree of the individual service using a trust degree measurement and evaluation model proposed in previous research.Trust combination and computation then are performed according the perfect trustworthy service composition is acquired by the improved CHC genetic algorithm. Experimental results show that CHC-TSCM can effectively solve the trustworthy service composition problem. Comparing with GODSS and TOCSS, this new method has several advantages: 1) a higher service comp osition successrate; 2) a smaller decline trend of the service composition success-rate, and 3) enhanced stability.