Large-scale global optimization through consensus of opinions over complex networks

Purpose Large-scale optimization tasks have many applications in science and engineering. There are many algorithms to perform such optimization tasks. In this manuscript, we aim at using consensus in multi-agent systems as a tool for solving large-scale optimization tasks. Method The model is based on consensus of opinions among agents interacting over a complex networked structure. For each optimization task, a number of agents are considered,...