MATLAB Code Implementation for Solving Vehicle Routing Problem (VRP)

This program provides a MATLAB implementation using genetic algorithms to solve basic Vehicle Routing Problems. The distance matrix between supply points and genetic algorithm parameters are defined in VRP.M. The fitness function is calculated based on route length, while constraint handling is implemented by adding penalty factors in the LEN function - for simplicity, infeasible routes are penalized with an additional 100 units distance. The implementation demonstrates core GA components including chromosome encoding, selection, crossover, and mutation operations specific to VRP optimization.

Calculating Node Degree in Complex Networks

Using MATLAB to compute complex network metrics including node degree, clustering coefficient, and path length for directed networks, with enhanced code implementation details.