This project implements a genetic algorithm to attempt to find a good approximate solution to the Traveling Salesman Problem (TSP). The Traveling Salesman Problem (TSP) involves finding the shortest ...

TSP is a typical combinatorial optimization problems and GA is an adaptive searching algorithm for global optimization with the natural parallelism. The running speed of GA's software implementation ...

TSP (Travelling Salesman Problem) is a typical combinatorial optimization problem. Using genetic algorithm to solve TSP is faced with the problem of rapid search for the optimal solution and ...

We illustrate superior performance of WoAC by comparing it against another bio-inspired approach, the Genetic Algorithm, on one of the classical NP-Hard problems, the Travelling Salesperson Problem.

The main steps in implementing the Genetic Algorithm for TSP include: Solution Route Encoding 🗺️: Representing a solution to the TSP as a sequence of cities. Fitness Function 🏋️‍♂️: Evaluating the ...