'Time Series Prediction with Transformer Neural Network Optimized by IFE and Hunger-Driven DMOA'support code

It contains the core optimization process, including population initialization, iterative position updating, and best-solution tracking.calculate_ife.m:Function for computing the intuitionistic fuzzy entropy used in the adaptive convergence factor of IFSDMOA.rouletteWheelSelection.m:Utility function that performs roulette wheel selection for probabilistic individual selection during the optimization process.Get_CEC_Test_Functions.m:Benchmark function definition file.

It provides the objective functions, variable bounds, and dimensional settings for the selected test problems.main.m:Main experimental script used to run IFSDMOA on the selected benchmark functions, record statistical results, and plot convergence curves.