1. A method for solving combinatorial optimization problems, the method comprising: receiving a plurality of problem instance parameters associated with a graph; determining when a dynamic path change indicator exists; initializing the graph based on the determining the dynamic path change indicator does not exist; inserting a placeholder node and at least one placeholder node edge based on the determining the dynamic path change indicator does exist; reinitializing the graph with the inserted place holder node and the at least one placeholder node edge; initializing the reinitialized graph; and executing a hybrid algorithm on the initialized graph or on the reinitialized graph, wherein the hybrid algorithm comprises an ant colony optimization algorithm and a genetic algorithm.