Underwater Pier Algorithm: Nested Civilizations and Complex Economies in a Multilayered Trade Network in Historical Geographical Perspective

Abstract

Underwater Pier Algorithm (UPA) is a new meta-heuristic swarm intelligence algorithm based on differential evolution algorithm that takes into account the whole process of geo-data infrastructure, trading behavior, road network generation, and city construction in the process of social computing, by constraining the behavior of trading routes, trade kinds of data conditions and expansion laws, social mechanisms that attract data exchange and sharing, data normative standard establishment and the process of common knowledge evolution. The proposed algorithm can realize the organization category, classification index and alternative metric calculation of node data resources by testing the function, so as to realize the analysis observation of core nodes in multi-layer trade networks, significant improvement on the inference ability for local events, fast convergence, strong global search ability and high solution accuracy.