Profit Maximization for Service Organizer Based on IABC Algorithm

Profit Maximization for Service Organizer Based on IABC Algorithm

In the interaction of service resources among multiple participants, the maximization of profit is always the most concerned fundamental expectation of these participants. However, their expectations can hardly be satisfied simultaneously for the reason of the contradictions and conflicts that existed in their interest demands. In this paper, the interaction between the service organizer and the service provider is discussed in detail. From the perspective of the value of service groups, the value composition and synergy of all participants in science and technology service activities are studied, the service activity process is sorted out, the behavioral characteristics of service entities are analyzed, and the interaction process of interests between service intermediaries and service providers is organized into a mixed-integer linear programming model with constraints. It is determined that the value embodiment in the process of service activities is portrayed by introducing the relevant model of game theory. A game approach is used to describe the mathematical relationships between different service entities in terms of cooperation or non-cooperation. An improved artificial bee colony algorithm is used to solve the problem and promote the multi-party value collaborative optimization of science and technology service activities.