Service composition model and implementation based on genetic programming
基于遗传规划的服务匹配算法研究

Based on the feature abstraction in semantic service,the elementary service can be abstracted as action rule unit(ARU).So,a services composition model based on action planning was proposed.In order to satisfy the functional and nonfunctional needs,a service matching algorithm based on genetic programming(GP-SMA),was introduced by integrating with the variable and layered structure of genetic programming.The action rules among these ARU guide the planning process.Simulation results show that this algorithm exhibits some good performances such as find-best ability and efficiency in the selection space of associated service.