Simulated annealing algorithm to solve workshop scheduling problem
The workshop scheduling problem refers to how to reasonably arrange the execution order of tasks on machines within a certain period of time, given a set of tasks and a set of machine equipment, so as to maximize production efficiency and resource utilization. The simulated annealing algorithm is an optimization algorithm that searches for the global optimal solution to the problem by simulating the metal annealing process. This article will introduce how to use Matlab to solve the workshop scheduling problem based on the simulated annealing algorithm, and provide the corresponding source code.
First, let us define the basic concepts and objectives of the shop floor scheduling problem. Suppose there are m machines and n tasks, and each task requires a certain amount of time to be executed on the machine. There is a sequence relationship between tasks, that is, some tasks must be completed before other tasks can be executed. Our goal is to find a task execution order that minimizes the total execution time of the tasks.
The following is the code for using Matlab to implement the simulated annealing algorithm for the workshop scheduling problem:
% 初始化参数
T0 = 100; % 初始温度
Tf = 1; % 终止温度
alpha = 0.95; %