Optimizing Order Batching Problem Based on Matlab Firefly Algorithm
The order batch optimization problem is an important common problem in supply chain management, which involves how to reasonably divide a batch of orders into several batches to maximize transportation efficiency and reduce costs. In order to solve this problem, we can optimize with the help of Firefly Algorithm.
The firefly algorithm is a heuristic optimization algorithm based on the behavior of fireflies in nature, which searches for the optimal solution by simulating the attraction and chasing behavior between fireflies. In the order batch optimization problem, we can regard orders as fireflies, and the attributes of each order (such as quantity, size, starting position, etc.) are the characteristics of fireflies. By adjusting the batch allocation method of orders, we can make fireflies (orders) attract each other, so as to find the optimal batching scheme.
The following is the source code for solving the order batch optimization problem based on the firefly algorithm implemented by Matlab:
% 参数设置
MaxGeneration = 100; % 最大迭代次数
PopulationSize = 50; % 种群大小
Alpha = 1