In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
The application range of the embedded computing is going to cover the majority of the market products spanning from consumer electronic, automotive, telecom and process control. F...
Alessandro Balboni, William Fornaciari, M. Vincenz...
The Chained Lin-Kernighan algorithm (CLK) is one of the best heuristics to solve Traveling Salesman Problems (TSP). In this paper a distributed algorithm is proposed, were nodes i...
Simulation professionals need to see themselves first as systems analysts, i.e., problem solvers, rather than just simulation users. As the networked digital economy develops, sys...
During the last decades market competition created various constellations of collaborative integration between enterprises: integration of parts of the value chain or integration ...