Multi-objective optimization strategy of service pool to satisfy reliability constraint
满足可靠性约束的冗余服务池多目标优化策略

Aimed at the problem that redundant service pool in service composition brings large cost and long response time, this paper presented a multi-objective optimization strategy to reduction the redundant cost and response time under certain reliability. At first, it analyzed the optimization objective of service pool used two kinds of fault tolerant strategies. Then, it used a memetic algorithm based on global nondominated sorting strategy and local random-walk method to solve the optimization problem. At last, simulation shows the strategy is validity and better than the other multi-objective evolutionary algorithms.