This project implements an Evolutionary Algorithm (EA) to solve the Traveling Salesman Problem (TSP) using various evolutionary strategies like crossover, mutation, and selection. The algorithm is ...

A Genetic Algorithm (GA) is an evolutionary optimization technique inspired by natural selection. This algorithm will evolve over multiple generations to optimize the route, minimizing the total ...

In this paper a novel quantum genetic algorithm (NQGA) introducing the crossover and mutation operations is proposed, and the algorithm is used to solve the TSP in MATLAB. Compared with the ...

Abstract: Combined with the idea of the Bean Optimization algorithm (BOA), the ant colony optimization (ACO) algorithm is presented to solve the well known traveling salesman problem (TSP). The core ...

Abstract: Traveling salesman problem, a very famous NP-hard problem, has attracted a lot of attention in recent years. People focus on how to quickly get the optimal solution. In this paper, we first ...

In the Simulated Annealing algorithm applied to the Traveling Salesman Problem, the total tour length decreases with temperature. Empirical observation shows that the tours become more structured as ...