A Genetic Algorithm for the Uncapacitated Network Design Problem

In this paper a genetic algorithm (GA) for solving the uncapacitated network design problem (UNDP) is presented. The problem with single source and destinations for each commodity is considered. UNDP is a base in class of the network design problems, but it is still NP-hard. The implementation of GA is additionally improved by caching technique of GA. The computational results on instances up to 50 commodities, 100 nodes and 700 edges are reported.