Explore MATLAB source code curated for "VRP问题" with clean implementations, documentation, and examples.
The Vehicle Routing Problem involves optimizing delivery routes starting from a distribution center, where each vehicle has a maximum load capacity constraint, aiming to find the most efficient path for goods distribution.
This code implements a solution for the Vehicle Routing Problem (VRP) using the Ant Colony Optimization algorithm, featuring graph-based pathfinding and pheromone update mechanisms.
MATLAB source code implementation of the Clarke-Wright Savings Algorithm for solving Vehicle Routing Problems (VRP)
Solving VRP with Genetic Algorithm: Implementation and Code Approaches
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.
A MATLAB-implemented genetic algorithm program for solving the Vehicle Routing Problem (VRP), featuring classic intelligent optimization techniques with detailed code structure and algorithmic workflow explanations.
Ant Colony Algorithm for solving Vehicle Routing Problems with pheromone-based optimization, route construction mechanisms, and heuristic-guided search strategies for efficient logistics planning.
MATLAB implementation using genetic algorithm to solve 8-node logistics distribution problem. Verified functional code with customizable distance matrices and route visualization capabilities, featuring chromosome encoding, fitness evaluation, and crossover/mutation operations.
Genetic Algorithm-based VRP Problem Solution with Python Implementation and Optimization Strategies
This code implements a solution for the Vehicle Routing Problem (VRP) using the Ant Colony Optimization (ACO) algorithm. It simulates ant foraging behavior to find optimal vehicle routes that minimize total travel distance.