In Service Computing, Service selection plays a vital role in delivering an appropriate service to the end user based on the request. Service composition methodology is the major factor affecting the appropriate need for the user or the consumer. The proposed technique involve the use of hybrid meta heuristics genetic algorithm with tabu search to retrieve the best suitable web service to the end user based on the Quality of service parameters. The existing techniques use the parameters response time, cost and reliability. The technique used in hybrid algorithm is used computes the availability of service, response time, throughput and interoperability between the services. Hence the result of service composition gives high reliable service to the end user with maximum throughput and interoperability. The location based service selection mechanism is considered for service composition as almost 90% of the services are available in cloud.

在服务计算中，服务选择在根据请求向最终用户提供适当服务方面起着至关重要的作用。服务组合方法是影响用户或消费者适当需求的主要因素。所提出的技术涉及将混合元启发式遗传算法与禁忌搜索结合使用，以根据服务质量参数为终端用户检索最合适的Web服务。现有技术使用参数响应时间，成本和可靠性。混合算法中使用的技术用于计算服务的可用性，响应时间，吞吐量和服务之间的互操作性。因此，服务组合的结果以最大的吞吐量和互操作性为最终用户提供了高度可靠的服务。