This paper presents the results of designing Multi-Agent systems with applied coalitions for decision-making with MultiObjective conditions in complex processes. The system is based on interaction and collaboration between several Agents, each of which can evaluate and optimize its objectives by applying Genetic Algorithms. The coalition formation process is defined by the mathematical model, the functionality of which and the interaction between Agents are explained based on the sequence diagram. The result of an example of coalition formation is presented as a topology of interconnection between the set of Agents.