Optimization Scheduling of Local Market Resources Based on Simulated Annealing Algorithm

In the local market resource scheduling, some enterprises have problems such as uneven resource allocation and low utilization efficiency, which leads to the increase of operating costs and the decline of service quality. In order to solve the above problems, this study first analyzed the principle of simulated annealing algorithm, and then proposed a local market resource optimization scheduling method based on simulated annealing algorithm from six aspects, such as resource information capture and resource optimization scheduling objective function definition. The experimental results show that this method can improve the efficiency of resource allocation, shorten the response time and reduce the idle rate of resources, which has important practical significance for promoting the development of the local market to a more intelligent and efficient direction.