Our work on leveraging optimization with mixed individual and social learning in cooperative group optimization (CGO) appears on Applied Soft Computing: “Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning,” Applied Soft Computing, vol. 50,
Work on Smart Urban Traffic Control published on Transportation Research Part C
Schedule-driven intersection control (SchIC) is the core control engine (the brain) of the smart and scalable urban traffic control system. “Schedule-driven intersection control,” Transportation Research Part C, vol. 24, 2012. @Article{Xie2012, Title = {Schedule-driven intersection control}, Author = {Xiao-Feng Xie
Work on solving the Traveling Saleman Problem was published on IEEE Trans. on SMC-B
MAOS-TSP is a cooperative group optimization system for solving the Traveling Salesman Problem (TSP). It has been tested and achieved optimal solutions efficiently for large-scale instances. The code can be downloaded here. Xiao-Feng Xie, Jiming Liu. Multiagent optimization system for
Work on solving the Graph Coloring Problem was published on Journal of Combinatorial Optimization
MAOS-GCP is a cooperative group optimization system for solving the Graph Coloring Problem (GCP). It has been tested and achieved optimal solutions efficiently for large-scale instances. The binary code can be downloaded from the portal. Xiao-Feng Xie, Jiming Liu. Graph coloring