摘要：In this work we address the problem of optimizing collective profitabilityin semi-competitive intermediation networks defined as augmented directed acyclicgraphs. Network participants are modeled as autonomous agents endowed withprivate utility functions. We introduce a mathematical optimization model fordefining pricing strategies of network participants. We employ welfare economicsaiming to maximize the Nash social welfare of the intermediation network. The papercontains mathematical results that theoretically prove the existence of such optimalstrategies. We also discuss computational results that we obtained using a nonlinearconvex numerical optimization package.
