A survey on hybridizing genetic algorithm with dynamic programming for solving the traveling salesman problem

Traveling Salesman Problem (TSP) is a well-known NP-hard problem. Many algorithms were developed to solve this problem and gave the nearly optimal solutions within reasonable time. This paper presents a survey about the combination Genetic Algorithm (GA) with Dynamic Programming (DP) for solving TSP. We also setup a combination between GA and DP for this problem and experimented on 7 Euclidean instances derived from TSP-lib. Experimental results are reported to show the efficiency of the experimented algorithm comparing to the genetic algorithm.