ANT COLONY FOR SPATIAL RECONFIGURATION OF MULTIMODAL TRANSPORT NETWORK

This paper introduces an application of an ant colony algorithm in order to solve a spatial reconfiguration problem of multimodal transport network. It is a multicriteria problem. In fact, it consists of finding in real-time the best path with minimal travel time, minimal travel distance and maximal passenger number, for the vehicles within a disrupted transportation system. We adapted this metaheuristic algorithm and improved the search space exploration.